Zhen Qin
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Co-authors
- Zhiguang QinKim‐Kwang Raymond ChooYi DingDajiang ChenYibo ZhangNing ZhangXufei MaoXuanhui Wang
- Topics
- Recommender Systems and Techniques (15 papers)AI in cancer detection (13 papers)COVID-19 diagnosis using AI (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Access
- Partner nations
- ChinaUnited StatesNigeria
In The Last Decade
Zhen Qin
106 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 135
- Artificial Intelligence 697
- Computer Vision and Pattern Recognition 639
- Information Systems 397
- Computer Networks and Communications 297
- Electrical and Electronic Engineering 192
Countries citing papers authored by Zhen Qin
This map shows the geographic impact of Zhen Qin'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 Zhen Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhen Qin more than expected).
Fields of papers citing papers by Zhen Qin
This network shows the impact of papers produced by Zhen Qin. 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 Zhen Qin. The network helps show where Zhen Qin may publish in the future.
Co-authorship network of co-authors of Zhen Qin
This figure shows the co-authorship network connecting the top 25 collaborators of Zhen Qin. A scholar is included among the top collaborators of Zhen Qin 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 Zhen Qin. Zhen Qin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 16 | |
| 7 | 0 | |
| 8 | 4 | |
| 9 | 10 | |
| 10 | 13 | |
| 11 | 4 | |
| 12 | 15 | |
| 13 | 5 | |
| 14 | 18 | |
| 15 | Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees | 28 |
| 16 | 20 | |
| 17 | 20 | |
| 18 | 8 | |
| 19 | 3 | |
| 20 | Study of the Influence of Brand Image on Consumers' Online Shopping Intention - - in the Case of Cosmetics. | 1 |
About Zhen Qin
Zhen Qin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 124 papers that have together received 1.7k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (15 papers), AI in cancer detection (13 papers) and COVID-19 diagnosis using AI (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (639 citations), Artificial Intelligence (697 citations) and Information Systems (397 citations). Zhen Qin has collaborated with scholars based in China, United States and Nigeria. Frequent co-authors include Zhiguang Qin, Kim‐Kwang Raymond Choo, Yi Ding, Dajiang Chen, Yibo Zhang, Ning Zhang, Xufei Mao, Xuanhui Wang, Donald Metzler and Michael Bendersky. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.
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.