Chengwei Qin

1.2k total citations · 1 hit paper
34 papers, 604 citations indexed

About

Chengwei Qin is a scholar working on Artificial Intelligence, Safety, Risk, Reliability and Quality and Mechanical Engineering. According to data from OpenAlex, Chengwei Qin has authored 34 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 5 papers in Safety, Risk, Reliability and Quality and 5 papers in Mechanical Engineering. Recurrent topics in Chengwei Qin's work include Topic Modeling (8 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Natural Language Processing Techniques (4 papers). Chengwei Qin is often cited by papers focused on Topic Modeling (8 papers), Domain Adaptation and Few-Shot Learning (5 papers) and Natural Language Processing Techniques (4 papers). Chengwei Qin collaborates with scholars based in China, Singapore and United States. Chengwei Qin's co-authors include Zhuosheng Zhang, Diyi Yang, Michihiro Yasunaga, Jiaao Chen, Shafiq Joty, Lidong Bing, Bosheng Ding, R. P. Zhao, Linlin Liu and Yew Ken Chia and has published in prestigious journals such as Composites Science and Technology, Composite Structures and Reliability Engineering & System Safety.

In The Last Decade

Chengwei Qin

29 papers receiving 580 citations

Hit Papers

Is ChatGPT a General-Purpose Natural Language Processing ... 2023 2026 2024 2025 2023 50 100 150 200 250

Peers

Chengwei Qin
Comparison fields: 5 of 104
  • Artificial Intelligence 371
  • Health Informatics 66
  • Computer Vision and Pattern Recognition 65
  • Information Systems 61
  • Molecular Biology 36
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Citations per field, relative to Chengwei Qin
Chengwei Qin · 1×
Citations per year, relative to Chengwei Qin
Chengwei Qin · 1×

Countries citing papers authored by Chengwei Qin

Since Specialization
Citations

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

Fields of papers citing papers by Chengwei Qin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chengwei Qin

This figure shows the co-authorship network connecting the top 25 collaborators of Chengwei Qin. A scholar is included among the top collaborators of Chengwei 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 Chengwei Qin. Chengwei Qin 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 0
3 6
4 0
5 3
6 6
7 8
8 0
9
Is ChatGPT a General-Purpose Natural Language Processing Task Solver? breakdown →
269
10 5
11 19
12 1
13 71
14 9
15 29
16 5
17 1
18 30
19 2
20 24

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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