Kun Qian

1.2k total citations
35 papers, 469 citations indexed

About

Kun Qian is a scholar working on Artificial Intelligence, Management Science and Operations Research and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kun Qian has authored 35 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 9 papers in Management Science and Operations Research and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kun Qian's work include Topic Modeling (14 papers), Data Quality and Management (8 papers) and Electric Vehicles and Infrastructure (6 papers). Kun Qian is often cited by papers focused on Topic Modeling (14 papers), Data Quality and Management (8 papers) and Electric Vehicles and Infrastructure (6 papers). Kun Qian collaborates with scholars based in United States, China and Denmark. Kun Qian's co-authors include Prithviraj Sen, Lucian Popa, Marina Danilevsky, Yannis Katsis, Ban Kawas, Ranit Aharonov, Yunyao Li, Reza Fachrizal, Joakim Munkhammar and Anbang Xu and has published in prestigious journals such as IEEE Access, Sustainable Cities and Society and Proceedings of the VLDB Endowment.

In The Last Decade

Kun Qian

34 papers receiving 438 citations

Peers

Kun Qian
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
Replace Djallel Bouneffouf with:
Djallel Bouneffouf United States
Roxana Rădulescu Belgium
Eleftherios Anastasiadis United Kingdom
Cen Chen China
Jiakai Tang China
Tianshu Song China
Vinícius Zambaldi United Kingdom
Hankz Hankui Zhuo China
Athirai A. Irissappane Singapore
Shivaram Kalyanakrishnan India
Djallel Bouneffouf United States View profile →
Citations per field, relative to Kun Qian
Kun Qian · 1×
Citations per year, relative to Kun Qian
Kun Qian · 1×

Countries citing papers authored by Kun Qian

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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