Kun Qian
- Artificial Intelligence top 5%
- Management Science and Operations Research top 5%
- Electrical and Electronic Engineering
- Automotive Engineering top 10%
- Information Systems top 10%
- Co-authors
- Prithviraj SenLucian PopaMarina DanilevskyYannis KatsisBan KawasRanit AharonovYunyao LiReza Fachrizal
- Topics
- Topic Modeling (14 papers)Data Quality and Management (8 papers)Electric Vehicles and Infrastructure (6 papers)
- Partner nations
- United StatesChinaDenmark
In The Last Decade
Kun Qian
34 papers receiving 438 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 315
- Management Science and Operations Research 93
- Electrical and Electronic Engineering 86
- Automotive Engineering 71
- Information Systems 48
Countries citing papers authored by Kun Qian
This map shows the geographic impact of Kun 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 Kun Qian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Qian more than expected).
Fields of papers citing papers by Kun Qian
This network shows the impact of papers produced by Kun 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 Kun Qian. The network helps show where Kun Qian may publish in the future.
Co-authorship network of co-authors of Kun Qian
This figure shows the co-authorship network connecting the top 25 collaborators of Kun Qian. A scholar is included among the top collaborators of Kun 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 Kun Qian. Kun 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 | 48 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 63 | |
| 7 | 13 | |
| 8 | 7 | |
| 9 | 4 | |
| 10 | 13 | |
| 11 | 103 | |
| 12 | 4 | |
| 13 | 7 | |
| 14 | 17 | |
| 15 | Exploiting Structure in Representation of Named Entities using Active Learning. | 6 |
| 16 | 12 | |
| 17 | 5 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | 10 |
About Kun Qian
Kun Qian is a scholar working on Artificial Intelligence, Management Science and Operations Research and Automotive Engineering, having authored 35 papers that have together received 469 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Data Quality and Management (8 papers) and Electric Vehicles and Infrastructure (6 papers). The work is most often cited by research in Health Informatics (30 citations), Artificial Intelligence (315 citations) and Management Science and Operations Research (93 citations). Kun Qian has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Prithviraj Sen, Lucian Popa, Marina Danilevsky, Yannis Katsis, Ban Kawas, Ranit Aharonov, Yunyao Li, Reza Fachrizal, Joakim Munkhammar and Anbang Xu. Their work appears in journals such as IEEE Access, Sustainable Cities and Society and Proceedings of the VLDB Endowment.
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.