Shengqiong Wu
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Management Science and Operations Research top 10%
- Information Systems
- Molecular Biology
- Co-authors
- Hao FeiFei LiJingye LiDonghong JiMeishan ZhangYafeng RenChong TengJiang Liu
- Topics
- Topic Modeling (16 papers)Sentiment Analysis and Opinion Mining (10 papers)Natural Language Processing Techniques (9 papers)
- Cited by
- Artificial IntelligenceManagement Science and Operations ResearchComputer Vision and Pattern Recognition
In The Last Decade
Shengqiong Wu
25 papers receiving 463 citations
Hit Papers
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 395
- Computer Vision and Pattern Recognition 75
- Management Science and Operations Research 51
- Information Systems 35
- Molecular Biology 18
Countries citing papers authored by Shengqiong Wu
This map shows the geographic impact of Shengqiong Wu'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 Shengqiong Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shengqiong Wu more than expected).
Fields of papers citing papers by Shengqiong Wu
This network shows the impact of papers produced by Shengqiong Wu. 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 Shengqiong Wu. The network helps show where Shengqiong Wu may publish in the future.
Co-authorship network of co-authors of Shengqiong Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Shengqiong Wu. A scholar is included among the top collaborators of Shengqiong Wu 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 Shengqiong Wu. Shengqiong Wu 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 | 3 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 10 | |
| 10 | 8 | |
| 11 | 16 | |
| 12 | 16 | |
| 13 | 35 | |
| 14 | 7 | |
| 15 | 11 | |
| 16 | 5 | |
| 17 | 11 | |
| 18 | 24 | |
| 19 | 48 | |
| 20 | 23 |
About Shengqiong Wu
Shengqiong Wu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 28 papers that have together received 470 indexed citations. Recurring topics across this work include Topic Modeling (16 papers), Sentiment Analysis and Opinion Mining (10 papers) and Natural Language Processing Techniques (9 papers). The work is most often cited by research in Artificial Intelligence (395 citations), Management Science and Operations Research (51 citations) and Computer Vision and Pattern Recognition (75 citations). Shengqiong Wu has collaborated with scholars based in China, Singapore and Australia. Frequent co-authors include Hao Fei, Fei Li, Jingye Li, Donghong Ji, Meishan Zhang, Yafeng Ren, Chong Teng, Jiang Liu, Donghong Ji and Tat‐Seng Chua. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Neurocomputing and ACM Transactions on Information Systems.
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.