Zihan Wei
Biographic Data
| ID | 8237128 |
|---|---|
| NAME | Zihan Wei |
| GIVEN NAMES | Zihan |
| FAMILY NAME | Wei |
| SIGNATURE | WEI Z |
| AFFILIATIONS | Nankai University |
| ORCID | 0000-0001-9234-3497 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
L’industrie du Paléolithique inférieur du site de Duanjiagouzhuanchang, Bassin de la Rivière Han, Province Hubei, R.P. de Chine
Duanjiagouzhuanchang est un site Préhistorique de plein air, situé sur la quatrième terrasse de la Rivière Han (T4), Province du Hubei, R.P. de Chine. Ce site a livré une riche industrie lithique (165 pièces). Cet assemblage lithique se compose principalement d'un abondant outillage sur galet, dont des choppers, de rares pics et des bifaces. Les autres outils sur éclat, de petites dimensions, sont rares et peu retouchés. D’après les différentes a…
The Impact of Temporal Distance on Online Ratings
We investigate a novel bias in online rating systems, “memory bias,” arising from the temporal gap between consumption and review publication. Through an analysis of 753,806 hotel reviews and a randomized experiment, we find: (1) Memory bias has a greater spillover effect on perceived performance than on expectations, boosting ratings. (2) The marginal influence of memory bias on online reviews demonstrates a U-shaped relationship with time. (3) …
Use of machine learning models to predict mortality in dialysis patients
Background: Mortality among maintenance hemodialysis patients remains high, and traditional statistical models often fail to capture complex clinical relationships. This study aimed to systematically develop, compare, and validate 19 machine learning algorithms for predicting all-cause mortality in maintenance hemodialysis patients. Methods: This retrospective study included data from 538 maintenance hemodialysis patients (2018.1-2023.12), with 7…
Microblog discourse analysis for parenting style assessment
Introduction: Parents' negative parenting style is an important cause of anxiety, depression, and suicide among university students. Given the widespread use of social media, microblogs offer a new and promising way for non-invasive, large-scale assessment of parenting styles of students' parents. Methods: In this study, we have two main objectives: (1) investigating the correlation between students' microblog discourses and parents' parenting st…
Understanding the effect of tourists’ attribute-level experiences on satisfaction – a cross-cultural study leveraging deep learning
This study investigates how cultural traits play a role regarding the effect of attribute-level experiences on tourist satisfaction. Adopting Deep Learning algorithm, we proposed Attribute-Level Sentiment Analysis Model (ASAM) to extract tourists’ attribute-level experiences from online reviews. Then, based on nearly 50000 online reviews collect from TripAdvisor, we empirically find that positive attribute-level experiences exert the greater infl…
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Understanding the effect of tourists’ attribute-level experiences on satisfaction – a cross-cultural study leveraging deep learning
This study investigates how cultural traits play a role regarding the effect of attribute-level experiences on tourist satisfaction. Adopting Deep Learning algorithm, we proposed Attribute-Level Sentiment Analysis Model (ASAM) to extract tourists’ attribute-level experiences from online reviews. Then, based on nearly 50000 online reviews collect from TripAdvisor, we empirically find that positive attribute-level experiences exert the greater infl…
Use of machine learning models to predict mortality in dialysis patients
Background: Mortality among maintenance hemodialysis patients remains high, and traditional statistical models often fail to capture complex clinical relationships. This study aimed to systematically develop, compare, and validate 19 machine learning algorithms for predicting all-cause mortality in maintenance hemodialysis patients. Methods: This retrospective study included data from 538 maintenance hemodialysis patients (2018.1-2023.12), with 7…
Microblog discourse analysis for parenting style assessment
Introduction: Parents' negative parenting style is an important cause of anxiety, depression, and suicide among university students. Given the widespread use of social media, microblogs offer a new and promising way for non-invasive, large-scale assessment of parenting styles of students' parents. Methods: In this study, we have two main objectives: (1) investigating the correlation between students' microblog discourses and parents' parenting st…
L’industrie du Paléolithique inférieur du site de Duanjiagouzhuanchang, Bassin de la Rivière Han, Province Hubei, R.P. de Chine
Duanjiagouzhuanchang est un site Préhistorique de plein air, situé sur la quatrième terrasse de la Rivière Han (T4), Province du Hubei, R.P. de Chine. Ce site a livré une riche industrie lithique (165 pièces). Cet assemblage lithique se compose principalement d'un abondant outillage sur galet, dont des choppers, de rares pics et des bifaces. Les autres outils sur éclat, de petites dimensions, sont rares et peu retouchés. D’après les différentes a…
The Impact of Temporal Distance on Online Ratings
We investigate a novel bias in online rating systems, “memory bias,” arising from the temporal gap between consumption and review publication. Through an analysis of 753,806 hotel reviews and a randomized experiment, we find: (1) Memory bias has a greater spillover effect on perceived performance than on expectations, boosting ratings. (2) The marginal influence of memory bias on online reviews demonstrates a U-shaped relationship with time. (3) …
Digital Marketing and Social Media (2 works) · Diverse Aspects of Tourism Research (2 works) · Psychology (2 works) · Social Psychology (2 works) · Tourism (2 works) · Anxiety (1 work) · Applied Psychology (1 work) · Archaeological and Geological Studies (1 work) · Archaeology and Rock Art Studies (1 work) · Artificial Intelligence in Healthcare (1 work)