Fei Cheng
Biographic Data
| ID | 211672 |
|---|---|
| NAME | Fei Cheng |
| GIVEN NAMES | Fei |
| FAMILY NAME | Cheng |
| SIGNATURE | CHENG F |
| AFFILIATIONS | Beijing Normal University |
| ORCID | 0000-0003-4402-4509 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
A framework for developing university policies on generative AI governance: A cross-national comparative study
As generative AI (GAI) becomes increasingly embedded in higher education, universities worldwide are developing policies to govern its ethical, pedagogical, and institutional use. However, these policies vary across national and institutional contexts. We undertake a cross-national analysis of GAI guidelines issued by leading universities in the United States, Japan, and China, identifying key policy orientations and proposing a structured framew…
Drought impacts on global crop production decline despite its frequency and severity intensifying
Climate change is intensifying the frequency and severity of droughts, posing a significant threat to global crop production. Accurately quantifying drought impacts is challenging and critical for mitigation. Here, we use a high-resolution, bottom–up assessment framework to analyze drought impacts on yields of four major crops—maize, soybean, rice, and wheat—at county, provincial, and national levels over 1997–2021. Results show yield losses esca…
Between regulation and accessibility: How Chinese university students navigate global and domestic generative AI
Triadic Medical Closing: Companions’ Participation in Raising Additional Concerns
The introduction of additional concerns (ACs) during the closing phase of medical consultations—known as the “closing syndrome”—can compromise communicative efficiency by prolonging the interaction. The involvement of companions may further exacerbate this issue. However, studies on companion participation have predominantly centered on phases like diagnosis and treatment, with the closing phase being underexplored. Drawing on conversation analys…
Threat of low-frequency high-intensity floods to global cropland and crop yields
Closing medical encounters in China’s Mainland: Doctors’ fishing for patient-initiated terminal exchanges
Drawing on conversation analysis, this paper explores how medical encounters are closed in China’s mainland. Based on a collection of 75 naturally occurring cases, we observe two dominant conversational practices oriented to closing Chinese medical encounters: a stand-alone ‘okay?’ as a generic preclosing initiation, and a gratitude-expressing action as the initiation of the closing sequence. Through a further examination of salient closing patte…
Practical Efficient Regional Land-Use Planning Using Constrained Multi-Objective Genetic Algorithm Optimization
Practical efficient regional land-use planning requires planners to balance competing uses, regional policies, spatial compatibilities, and priorities across the social, economic, and ecological domains. Genetic algorithm optimization has progressed complex planning, but challenges remain in developing practical alternatives to random initialization, genetic mutations, and to pragmatically balance competing objectives. To meet these practical nee…
Temporal and Spatial Simulation of Atmospheric Pollutant PM2.5 Changes and Risk Assessment of Population Exposure to Pollution Using Optimization Algorithms of the Back Propagation-Artificial Neural N…
PM2.5 pollution has become of increasing public concern because of its relative importance and sensitivity to population health risks. Accurate predictions of PM2.5 pollution and population exposure risks are crucial to developing effective air pollution control strategies. We simulated and predicted the temporal and spatial changes of PM2.5 concentration and population exposure risks, by coupling optimization algorithms of the Back Propagation-A…
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Temporal and Spatial Simulation of Atmospheric Pollutant PM2.5 Changes and Risk Assessment of Population Exposure to Pollution Using Optimization Algorithms of the Back Propagation-Artificial Neural N…
PM2.5 pollution has become of increasing public concern because of its relative importance and sensitivity to population health risks. Accurate predictions of PM2.5 pollution and population exposure risks are crucial to developing effective air pollution control strategies. We simulated and predicted the temporal and spatial changes of PM2.5 concentration and population exposure risks, by coupling optimization algorithms of the Back Propagation-A…
Practical Efficient Regional Land-Use Planning Using Constrained Multi-Objective Genetic Algorithm Optimization
Practical efficient regional land-use planning requires planners to balance competing uses, regional policies, spatial compatibilities, and priorities across the social, economic, and ecological domains. Genetic algorithm optimization has progressed complex planning, but challenges remain in developing practical alternatives to random initialization, genetic mutations, and to pragmatically balance competing objectives. To meet these practical nee…
Threat of low-frequency high-intensity floods to global cropland and crop yields
Closing medical encounters in China’s Mainland: Doctors’ fishing for patient-initiated terminal exchanges
Drawing on conversation analysis, this paper explores how medical encounters are closed in China’s mainland. Based on a collection of 75 naturally occurring cases, we observe two dominant conversational practices oriented to closing Chinese medical encounters: a stand-alone ‘okay?’ as a generic preclosing initiation, and a gratitude-expressing action as the initiation of the closing sequence. Through a further examination of salient closing patte…
Between regulation and accessibility: How Chinese university students navigate global and domestic generative AI
Triadic Medical Closing: Companions’ Participation in Raising Additional Concerns
The introduction of additional concerns (ACs) during the closing phase of medical consultations—known as the “closing syndrome”—can compromise communicative efficiency by prolonging the interaction. The involvement of companions may further exacerbate this issue. However, studies on companion participation have predominantly centered on phases like diagnosis and treatment, with the closing phase being underexplored. Drawing on conversation analys…
A framework for developing university policies on generative AI governance: A cross-national comparative study
As generative AI (GAI) becomes increasingly embedded in higher education, universities worldwide are developing policies to govern its ethical, pedagogical, and institutional use. However, these policies vary across national and institutional contexts. We undertake a cross-national analysis of GAI guidelines issued by leading universities in the United States, Japan, and China, identifying key policy orientations and proposing a structured framew…
Drought impacts on global crop production decline despite its frequency and severity intensifying
Climate change is intensifying the frequency and severity of droughts, posing a significant threat to global crop production. Accurately quantifying drought impacts is challenging and critical for mitigation. Here, we use a high-resolution, bottom–up assessment framework to analyze drought impacts on yields of four major crops—maize, soybean, rice, and wheat—at county, provincial, and national levels over 1997–2021. Results show yield losses esca…
Computer Science (4 works) · Climate change impacts on agriculture (2 works) · Conversation (2 works) · Conversation analysis (2 works) · Crop (2 works) · Ecology (2 works) · Environmental Science (2 works) · Ethics and Social Impacts of AI (2 works) · Generative grammar (2 works) · Geography (2 works)