Hancheng Cao
- Transportation top 5%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Sociology and Political Science
- Computer Vision and Pattern Recognition
- Co-authors
- Yong LiFengli XuHanan SametJagan SankaranarayananMin ChenVassilis KostakosDaniel A. McFarlandPan Hui
- Topics
- Human Mobility and Location-Based Analysis (11 papers)Complex Network Analysis Techniques (7 papers)Digital Marketing and Social Media (6 papers)
- Journals
- American Sociological ReviewIEEE Transactions on Knowledge and Data EngineeringIEEE Transactions on Mobile Computing
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Hancheng Cao
29 papers receiving 497 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Transportation 141
- Artificial Intelligence 121
- Information Systems 79
- Sociology and Political Science 77
- Computer Vision and Pattern Recognition 50
Countries citing papers authored by Hancheng Cao
This map shows the geographic impact of Hancheng Cao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hancheng Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hancheng Cao more than expected).
Fields of papers citing papers by Hancheng Cao
This network shows the impact of papers produced by Hancheng Cao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hancheng Cao. The network helps show where Hancheng Cao may publish in the future.
Co-authorship network of co-authors of Hancheng Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Hancheng Cao. A scholar is included among the top collaborators of Hancheng Cao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hancheng Cao. Hancheng Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 70 | |
| 5 | User Experience Design Professionals’ Perceptions of Generative Artificial Intelligencebreakdown → | 42 |
| 6 | 8 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 19 | |
| 11 | 9 | |
| 12 | Understanding the Role of Intermediaries in Online Social E-commerce | 4 |
| 13 | 12 | |
| 14 | 2 | |
| 15 | 40 | |
| 16 | 12 | |
| 17 | 60 | |
| 18 | 12 | |
| 19 | 47 | |
| 20 | 32 |
About Hancheng Cao
Hancheng Cao is a scholar working on Transportation, Health Informatics and Statistical and Nonlinear Physics, having authored 29 papers that have together received 505 indexed citations. Recurring topics across this work include Human Mobility and Location-Based Analysis (11 papers), Complex Network Analysis Techniques (7 papers) and Digital Marketing and Social Media (6 papers). The work is most often cited by research in Health Informatics (33 citations), Transportation (141 citations) and Information Systems and Management (44 citations). Hancheng Cao has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Yong Li, Fengli Xu, Hanan Samet, Jagan Sankaranarayanan, Min Chen, Vassilis Kostakos, Daniel A. McFarland, Pan Hui, Daniel Scott Smith and Sasu Tarkoma. Their work appears in journals such as American Sociological Review, IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Mobile Computing.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.