Anbang Xu
- Artificial Intelligence top 2%
- Sociology and Political Science top 5%
- Computer Vision and Pattern Recognition top 5%
- Computer Science Applications top 2%
- Management Information Systems top 5%
- Co-authors
- Brian P. BaileyRama AkkirajuVibha Singhal SinhaYufan GuoZhe LiuShih‐Wen HuangXiao YangWai‐Tat Fu
- Topics
- Sentiment Analysis and Opinion Mining (9 papers)Data Visualization and Analytics (6 papers)Mobile Crowdsensing and Crowdsourcing (6 papers)
- Journals
- Journal of Management Information SystemsIEEE Transactions on Visualization and Computer GraphicsApplied Intelligence
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Anbang Xu
42 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Artificial Intelligence 544
- Sociology and Political Science 285
- Computer Vision and Pattern Recognition 186
- Computer Science Applications 186
- Management Information Systems 170
Countries citing papers authored by Anbang Xu
This map shows the geographic impact of Anbang Xu'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 Anbang Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anbang Xu more than expected).
Fields of papers citing papers by Anbang Xu
This network shows the impact of papers produced by Anbang Xu. 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 Anbang Xu. The network helps show where Anbang Xu may publish in the future.
Co-authorship network of co-authors of Anbang Xu
This figure shows the co-authorship network connecting the top 25 collaborators of Anbang Xu. A scholar is included among the top collaborators of Anbang Xu 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 Anbang Xu. Anbang Xu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 63 | |
| 7 | 23 | |
| 8 | 84 | |
| 9 | 14 | |
| 10 | 45 | |
| 11 | 122 | |
| 12 | 9 | |
| 13 | 16 | |
| 14 | 11 | |
| 15 | Improving interaction models for generating and managing alternative ideas during early design work | 7 |
| 16 | 2 | |
| 17 | 95 | |
| 18 | 4 | |
| 19 | 9 | |
| 20 | 19 |
About Anbang Xu
Anbang Xu is a scholar working on Computer Science Applications, Human-Computer Interaction and Marketing, having authored 45 papers that have together received 1.2k indexed citations. Recurring topics across this work include Sentiment Analysis and Opinion Mining (9 papers), Data Visualization and Analytics (6 papers) and Mobile Crowdsensing and Crowdsourcing (6 papers). The work is most often cited by research in Computer Science Applications (186 citations), Human-Computer Interaction (130 citations) and Health Informatics (31 citations). Anbang Xu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Brian P. Bailey, Rama Akkiraju, Vibha Singhal Sinha, Yufan Guo, Zhe Liu, Shih‐Wen Huang, Xiao Yang, Wai‐Tat Fu, Ping Guo and Yuheng Hu. Their work appears in journals such as Journal of Management Information Systems, IEEE Transactions on Visualization and Computer Graphics and Applied Intelligence.
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.