Zeqi Lin
Impact in
- Software top 5%
- Software Testing and Debugging Techniques
- Information Systems top 5%
- Software Engineering Research
- Web Data Mining and Analysis
Papers in
-
- Software Engineering Research 14
- Web Data Mining and Analysis 2
-
- Topic Modeling 11
- Natural Language Processing Techniques 5
- Co-authors
- Bing Xie (9 shared papers)Yanzhen Zou (8 shared papers)Jian–Guang Lou (15 shared papers)Bei Chen (7 shared papers)Weizhu Chen (6 shared papers)Dongmei Zhang (7 shared papers)Junfeng Zhao (4 shared papers)Daoguang Zan (2 shared papers)
- Journals
- Journal of Computer Science and Technology (2 papers)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)Neural Information Processing Systems (1 paper)Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (1 paper)
- Partner nations
- ChinaUnited StatesPoland
In The Last Decade
Zeqi Lin
23 papers receiving 322 citations
Peers
Comparison fields: 5 of 42
- Software 73
- Information Systems 175
- Artificial Intelligence 186
- Signal Processing 38
- Health Informatics 4
Countries citing papers authored by Zeqi Lin
This map shows the geographic impact of Zeqi Lin'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 Zeqi Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zeqi Lin more than expected).
Fields of papers citing papers by Zeqi Lin
This network shows the impact of papers produced by Zeqi Lin. 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 Zeqi Lin. The network helps show where Zeqi Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Zeqi Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 38 | |
| 2 | 2017 | 35 | |
| 3 | 2023 | 31 | |
| 4 | 2020 | 27 | |
| 5 | 2022 | 23 | |
| 6 | 2014 | 21 | |
| 7 | 2022 | 20 | |
| 8 | 2019 | 19 | |
| 9 | 2021 | 17 | |
| 10 | 2017 | 16 | |
| 11 | 2021 | 13 | |
| 12 | 2019 | 13 | |
| 13 | 2023 | 10 | |
| 14 | 2021 | 10 | |
| 15 | 2023 | 8 | |
| 16 | Compositional Generalization by Learning Analytical Expressions | 2020 | 6 |
| 17 | 2018 | 6 | |
| 18 | Hierarchical Poset Decoding for Compositional Generalization in Language | 2020 | 5 |
| 19 | 2022 | 4 | |
| 20 | 2021 | 3 |
About Zeqi Lin
Zeqi Lin is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Software and Computer Vision and Pattern Recognition, having authored 24 papers that have together received 330 indexed citations. Recurring topics across this work include Software Engineering Research (14 papers), Topic Modeling (11 papers), Software System Performance and Reliability (7 papers), Natural Language Processing Techniques (5 papers), Software Testing and Debugging Techniques (5 papers), Multimodal Machine Learning Applications (3 papers), Web Data Mining and Analysis (2 papers) and Scientific Computing and Data Management (2 papers). The work is most often cited by research in Software (73 citations), Information Systems (175 citations), Artificial Intelligence (186 citations), Signal Processing (38 citations) and Health Informatics (4 citations). Zeqi Lin has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Bing Xie, Yanzhen Zou, Jian–Guang Lou, Bei Chen, Weizhu Chen, Dongmei Zhang, Junfeng Zhao, Daoguang Zan, Bei Guan and Qiang Fu. Their work appears in journals such as Journal of Computer Science and Technology, Proceedings of the AAAI Conference on Artificial Intelligence, Rare & Special e-Zone (The Hong Kong University of Science and Technology), Neural Information Processing Systems and Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence.
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.