Jiannan Yang
Biographic Data
| ID | 9965201 |
|---|---|
| NAME | Jiannan Yang |
| GIVEN NAMES | Jiannan |
| FAMILY NAME | Yang |
| SIGNATURE | YANG J |
| AFFILIATIONS | Chinese Academy of Surveying and Mapping |
| ORCID | 0000-0002-7569-679X |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
MMInfluencer
Influencer marketing involves brands partnering with influencers to promote products, often through combined text and image posts on social media platforms. This multimodal data is critical for identifying suitable products for effective marketing practice. In this study, we presented MMInfluencer, a novel framework that addressed the critical upstream challenge of knowledge extraction from unstructured multimodal social media data. Our framework…
An Automatic Derivation Method for Creation of Complex Map Symbols in a Topographic Map
The topographic map plays a very important role in economic construction. In the process of drawing topographic maps, different symbols represent different ground objects, but the symbols representing complex ground objects are often complicated and difficult to create. Moreover, the creation process of complex map symbols can seriously affect the efficiency of topographic map production. Therefore, this paper proposes an automatic derivation met…
No prominent works on this page.
An Automatic Derivation Method for Creation of Complex Map Symbols in a Topographic Map
The topographic map plays a very important role in economic construction. In the process of drawing topographic maps, different symbols represent different ground objects, but the symbols representing complex ground objects are often complicated and difficult to create. Moreover, the creation process of complex map symbols can seriously affect the efficiency of topographic map production. Therefore, this paper proposes an automatic derivation met…
MMInfluencer
Influencer marketing involves brands partnering with influencers to promote products, often through combined text and image posts on social media platforms. This multimodal data is critical for identifying suitable products for effective marketing practice. In this study, we presented MMInfluencer, a novel framework that addressed the critical upstream challenge of knowledge extraction from unstructured multimodal social media data. Our framework…
Artificial Intelligence (2 works) · Computer Science (2 works) · Advanced Text Analysis Techniques (1 work) · Cartographic generalization (1 work) · Categorization, perception, and language (1 work) · Centroid (1 work) · Color perception and design (1 work) · Data mining (1 work) · Geographic Information Systems Studies (1 work) · Geometry (1 work)