Qin Chen

1.7k total citations
46 papers, 1.2k citations indexed

About

Qin Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Qin Chen has authored 46 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 9 papers in Information Systems. Recurrent topics in Qin Chen's work include Topic Modeling (22 papers), Natural Language Processing Techniques (8 papers) and Sentiment Analysis and Opinion Mining (7 papers). Qin Chen is often cited by papers focused on Topic Modeling (22 papers), Natural Language Processing Techniques (8 papers) and Sentiment Analysis and Opinion Mining (7 papers). Qin Chen collaborates with scholars based in China, United States and Canada. Qin Chen's co-authors include Jon Zubieta, Liang He, Qinmin Hu, Jimmy Xiangji Huang, Victoria Soghomonian, Robert C. Haushalter, Jie Zhou, John A. Stankovic, Zhimin He and Xiaorui Wang and has published in prestigious journals such as Chemistry of Materials, Inorganic Chemistry and IEEE Access.

In The Last Decade

Qin Chen

44 papers receiving 1.1k citations

Peers

Qin Chen
Comparison fields: 5 of 100
  • Artificial Intelligence 391
  • Materials Chemistry 282
  • Computer Networks and Communications 267
  • Inorganic Chemistry 263
  • Computer Vision and Pattern Recognition 165
Replace S. Mukherjee with:
S. Mukherjee India
Huang Lin China
Wenmin Li China
Jaeyoung Yang South Korea
Yuzuru Tanaka Japan
Yu-Yuan Chen China
Shuo Yang China
Pingchuan Ma China
S. Mukherjee India View profile →
Citations per field, relative to Qin Chen
Qin Chen · 1×
Citations per year, relative to Qin Chen
Qin Chen · 1×

Countries citing papers authored by Qin Chen

Since Specialization
Citations

This map shows the geographic impact of Qin Chen'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 Qin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qin Chen more than expected).

Fields of papers citing papers by Qin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qin Chen. 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 Qin Chen. The network helps show where Qin Chen may publish in the future.

Co-authorship network of co-authors of Qin Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Qin Chen. A scholar is included among the top collaborators of Qin Chen 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 Qin Chen. Qin Chen 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 0
2 1
3 1
4 3
5 4
6 3
7 0
8 1
9 6
10
Learning Diffeomorphic and Modality-invariant Registration using B-splines.
23
11 59
12 102
13 22
14 5
15 3
16
Locating Query-oriented Experts in Microblog Search.
1
17 51
18 106
19 3
20 17

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026