Jin Qian
- Computational Theory and Mathematics top 0.5%
- Artificial Intelligence top 5%
- Information Systems top 2%
- Management Science and Operations Research top 5%
- Computer Vision and Pattern Recognition top 10%
- Topics
- Rough Sets and Fuzzy Logic (33 papers)Data Mining Algorithms and Applications (20 papers)Multi-Criteria Decision Making (10 papers)
- Cited by
- Computational Theory and MathematicsManagement Science and Operations ResearchInformation Systems
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jin Qian
67 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Computational Theory and Mathematics 610
- Artificial Intelligence 452
- Information Systems 357
- Management Science and Operations Research 212
- Computer Vision and Pattern Recognition 140
Countries citing papers authored by Jin Qian
This map shows the geographic impact of Jin Qian'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 Jin Qian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Qian more than expected).
Fields of papers citing papers by Jin Qian
This network shows the impact of papers produced by Jin Qian. 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 Jin Qian. The network helps show where Jin Qian may publish in the future.
Co-authorship network of co-authors of Jin Qian
This figure shows the co-authorship network connecting the top 25 collaborators of Jin Qian. A scholar is included among the top collaborators of Jin Qian 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 Jin Qian. Jin Qian 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 | 3 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 13 | |
| 8 | 7 | |
| 9 | 24 | |
| 10 | 15 | |
| 11 | 5 | |
| 12 | 11 | |
| 13 | 87 | |
| 14 | 58 | |
| 15 | 64 | |
| 16 | 14 | |
| 17 | Parallel Algorithm Model for Knowledge Reduction Using MapReduce | 2 |
| 18 | Chinese Named Entity Abbreviation Generation Using First-Order Logic | 1 |
| 19 | The Comparison of Allotment Garden in Europe and Community Garden in the United States | 1 |
| 20 | Fast attribute reduction algorithm based on discernibility matrices | 2 |
About Jin Qian
Jin Qian is a scholar working on Computational Theory and Mathematics, Information Systems and Artificial Intelligence, having authored 83 papers that have together received 1.1k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (33 papers), Data Mining Algorithms and Applications (20 papers) and Multi-Criteria Decision Making (10 papers). The work is most often cited by research in Computational Theory and Mathematics (610 citations), Management Science and Operations Research (212 citations) and Information Systems (357 citations). Jin Qian has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Duoqian Miao, Xiaodong Yue, Caihui Liu, Ying Yu, Ping Lv, Wenbin Qian, Chuangyin Dang, Yafei Deng, Rotimi E. Aluko and Pengfei Zhao. Their work appears in journals such as Expert Systems with Applications, Pattern Recognition and Information Sciences.
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.