Jinkun Lin

32 total papers · 568 total citations
22 papers, 332 citations indexed

About

Jinkun Lin is a scholar working on Computational Theory and Mathematics, Information Systems and Software. According to data from OpenAlex, Jinkun Lin has authored 22 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 8 papers in Information Systems and 8 papers in Software. Recurrent topics in Jinkun Lin's work include Software Engineering Research (8 papers), Software Reliability and Analysis Research (8 papers) and Software Testing and Debugging Techniques (8 papers). Jinkun Lin is often cited by papers focused on Software Engineering Research (8 papers), Software Reliability and Analysis Research (8 papers) and Software Testing and Debugging Techniques (8 papers). Jinkun Lin collaborates with scholars based in China, Australia and United States. Jinkun Lin's co-authors include Shaowei Cai, Chuan Luo, Kaile Su, Lu Zhang, Dan Hao, Lixiang Liu, Hongyu Zhang, Qingwei Lin, Shuaijun Liu and Lexi Xu and has published in prestigious journals such as Artificial Intelligence, American Journal of Mathematics and Information and Software Technology.

In The Last Decade

Jinkun Lin

20 papers receiving 324 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jinkun Lin	117	114	99	86	86	22	332
Amid Khatibi Bardsiri	37 0.3×	140 1.2×	82 0.8×	185 2.2×	107 1.2×	40	362
Richard Borie	167 1.4×	122 1.1×	46 0.5×	28 0.3×	40 0.5×	21	309
Danny Bøgsted Poulsen	242 2.1×	68 0.6×	163 1.6×	50 0.6×	116 1.3×	17	403
Yaniv Saʼar	245 2.1×	80 0.7×	154 1.6×	34 0.4×	141 1.6×	12	367
Fakhrud Din	45 0.4×	52 0.5×	100 1.0×	66 0.8×	146 1.7×	27	325
Pierre Bieber	78 0.7×	92 0.8×	93 0.9×	84 1.0×	135 1.6×	28	311
Nicoletta De Francesco	114 1.0×	148 1.3×	106 1.1×	63 0.7×	147 1.7×	41	348
Jarmo Alanen	59 0.5×	41 0.4×	20 0.2×	33 0.4×	95 1.1×	29	338
Ramesh Bharadwaj	192 1.6×	72 0.6×	227 2.3×	104 1.2×	146 1.7×	38	399
T Epperly	92 0.8×	112 1.0×	27 0.3×	48 0.6×	37 0.4×	20	342

Countries citing papers authored by Jinkun Lin

Since Specialization

Citations

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

Fields of papers citing papers by Jinkun Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinkun Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Jinkun Lin. A scholar is included among the top collaborators of Jinkun 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 Jinkun Lin. Jinkun Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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