Zeqi Lin

794 total citations
24 papers, 320 citations indexed

About

Zeqi Lin is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Zeqi Lin has authored 24 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 14 papers in Artificial Intelligence and 7 papers in Computer Networks and Communications. Recurrent topics in Zeqi Lin's work include Software Engineering Research (14 papers), Topic Modeling (11 papers) and Software System Performance and Reliability (7 papers). Zeqi Lin is often cited by papers focused on Software Engineering Research (14 papers), Topic Modeling (11 papers) and Software System Performance and Reliability (7 papers). Zeqi Lin collaborates with scholars based in China, United States and Poland. Zeqi Lin's co-authors include Bing Xie, Yanzhen Zou, Jian–Guang Lou, Bei Chen, Weizhu Chen, Dongmei Zhang, Junfeng Zhao, Daoguang Zan, Bei Guan and Yongji Wang and has published in prestigious journals such as Journal of Computer Science and Technology, Rare & Special e-Zone (The Hong Kong University of Science and Technology) and arXiv (Cornell University).

In The Last Decade

Zeqi Lin

23 papers receiving 312 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Zeqi Lin China 12 184 172 72 58 40 24 320
Arun Iyer India 7 151 0.8× 107 0.6× 42 0.6× 38 0.7× 30 0.8× 13 247
Ensheng Shi China 10 169 0.9× 186 1.1× 63 0.9× 49 0.8× 16 0.4× 17 264
Navid Yaghmazadeh United States 5 146 0.8× 145 0.8× 51 0.7× 74 1.3× 14 0.3× 5 245
Arjun Radhakrishna United States 9 87 0.5× 79 0.5× 66 0.9× 46 0.8× 20 0.5× 33 213
Thomas Panas United States 8 101 0.5× 264 1.5× 109 1.5× 86 1.5× 99 2.5× 23 352
Dietmar Seipel Germany 8 186 1.0× 125 0.7× 66 0.9× 39 0.7× 14 0.3× 60 291
Carlos R. Rivero United States 10 188 1.0× 146 0.8× 28 0.4× 54 0.9× 45 1.1× 38 283
Hong Jin Kang Singapore 13 151 0.8× 237 1.4× 135 1.9× 75 1.3× 14 0.3× 26 372
Erik Stenman Sweden 4 196 1.1× 108 0.6× 41 0.6× 110 1.9× 9 0.2× 6 318
Markus Triska Austria 6 130 0.7× 48 0.3× 30 0.4× 55 0.9× 24 0.6× 8 211

Countries citing papers authored by Zeqi Lin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Zeqi Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Zeqi Lin. A scholar is included among the top collaborators of Zeqi Lin 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 Zeqi Lin. Zeqi Lin 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
1.
2.
Chen, Weizhu, et al.. (2024). Make Your LLM Fully Utilize the Context. 62160–62188. 1 indexed citations
3.
Lin, Zeqi, Qiang Fu, Bei Chen, et al.. (2023). Skill-Based Few-Shot Selection for In-Context Learning. 13472–13492. 8 indexed citations
4.
Li, Yifei, Zeqi Lin, Qiang Fu, et al.. (2023). Making Language Models Better Reasoners with Step-Aware Verifier. 5315–5333. 28 indexed citations
5.
Lin, Zeqi, Qiang Fu, Bei Chen, et al.. (2023). How Do In-Context Examples Affect Compositional Generalization?. 11027–11052. 9 indexed citations
6.
Liu, Qian, Bei Chen, Morteza Ziyadi, et al.. (2022). Reasoning Like Program Executors. 761–779. 23 indexed citations
7.
Zan, Daoguang, Bei Chen, Zeqi Lin, et al.. (2022). When Language Model Meets Private Library. 277–288. 20 indexed citations
8.
Li, Zhenming, Ying Wang, Zeqi Lin, Shing-Chi Cheung, & Jian–Guang Lou. (2022). Nufix. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1545–1557. 5 indexed citations
9.
Lin, Zeqi, et al.. (2021). Can Neural Clone Detection Generalize to Unseen Functionalitiesƒ. 617–629. 9 indexed citations
10.
Guo, Yinuo, Zeqi Lin, Jian–Guang Lou, & Dongmei Zhang. (2021). Iterative Utterance Segmentation for Neural Semantic Parsing. Proceedings of the AAAI Conference on Artificial Intelligence. 35(14). 12937–12945. 3 indexed citations
11.
Lin, Zeqi, Bei Chen, Jian–Guang Lou, et al.. (2021). Learning Algebraic Recombination for Compositional Generalization. 1129–1144. 17 indexed citations
12.
Guo, Yinuo, et al.. (2021). Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization. Proceedings of the AAAI Conference on Artificial Intelligence. 35(9). 7601–7609. 13 indexed citations
13.
Guo, Yinuo, Zeqi Lin, Jian–Guang Lou, & Dongmei Zhang. (2020). Hierarchical Poset Decoding for Compositional Generalization in Language. Neural Information Processing Systems. 33. 6913–6924. 5 indexed citations
14.
Liu, Qian, Jian–Guang Lou, Bei Chen, et al.. (2020). Compositional Generalization by Learning Analytical Expressions. arXiv (Cornell University). 33. 11416–11427. 6 indexed citations
15.
Lin, Zeqi, et al.. (2020). Adaptive Deep Code Search. 48–59. 24 indexed citations
16.
Zou, Yanzhen, et al.. (2019). Graph Embedding Based API Graph Search and Recommendation. Journal of Computer Science and Technology. 34(5). 993–1006. 12 indexed citations
17.
Lin, Zeqi, Yanzhen Zou, Junfeng Zhao, & Bing Xie. (2017). Improving software text retrieval using conceptual knowledge in source code. 123–134. 16 indexed citations
18.
Lin, Zeqi, Junfeng Zhao, Yanzhen Zou, & Bing Xie. (2017). Document Distance Estimation via Code Graph Embedding. 6. 1–10. 1 indexed citations
19.
Lin, Zeqi, Bing Xie, Yanzhen Zou, et al.. (2017). Intelligent Development Environment and Software Knowledge Graph. Journal of Computer Science and Technology. 32(2). 242–249. 35 indexed citations
20.
Lin, Zeqi, Junfeng Zhao, & Bing Xie. (2014). A graph database based crowdsourcing infrastructure for modelling and searching code structure. 15–24. 2 indexed citations

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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