Xingshan Zeng
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Human-Computer Interaction top 5%
- Developmental and Educational Psychology
- Co-authors
- Kam‐Fai WongLingzhi WangZhou ZhaoJing LiXiaofei HeWeike JinMeng ZhangQun Liu
- Topics
- Topic Modeling (19 papers)Natural Language Processing Techniques (11 papers)Speech Recognition and Synthesis (5 papers)
- Journals
- IEEE Transactions on Knowledge and Data EngineeringACM Transactions on Information Systems2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
In The Last Decade
Xingshan Zeng
28 papers receiving 259 citations
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 160
- Information Systems 87
- Computer Vision and Pattern Recognition 87
- Human-Computer Interaction 60
- Developmental and Educational Psychology 41
Countries citing papers authored by Xingshan Zeng
This map shows the geographic impact of Xingshan Zeng'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 Xingshan Zeng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingshan Zeng more than expected).
Fields of papers citing papers by Xingshan Zeng
This network shows the impact of papers produced by Xingshan Zeng. 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 Xingshan Zeng. The network helps show where Xingshan Zeng may publish in the future.
Co-authorship network of co-authors of Xingshan Zeng
This figure shows the co-authorship network connecting the top 25 collaborators of Xingshan Zeng. A scholar is included among the top collaborators of Xingshan Zeng 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 Xingshan Zeng. Xingshan Zeng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 5 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 9 | |
| 12 | 13 | |
| 13 | 4 | |
| 14 | 33 | |
| 15 | 7 | |
| 16 | 9 | |
| 17 | 20 | |
| 18 | 6 | |
| 19 | 22 | |
| 20 | Efficiency Evaluation Method Researching for Weapon Equipment System | 0 |
About Xingshan Zeng
Xingshan Zeng is a scholar working on Human-Computer Interaction, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 30 papers that have together received 266 indexed citations. Recurring topics across this work include Topic Modeling (19 papers), Natural Language Processing Techniques (11 papers) and Speech Recognition and Synthesis (5 papers). The work is most often cited by research in Human-Computer Interaction (60 citations), Artificial Intelligence (160 citations) and Computer Vision and Pattern Recognition (87 citations). Xingshan Zeng has collaborated with scholars based in China, Hong Kong and Sweden. Frequent co-authors include Kam‐Fai Wong, Lingzhi Wang, Zhou Zhao, Jing Li, Xiaofei He, Weike Jin, Meng Zhang, Qun Liu, Jinglin Liu and Lu Wang. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Information Systems and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.