Jinfeng Lin

5.2k citations
12 papers · 3.1k indexed · 1 hit paper · h-index 6
Topics
Software Engineering Research (8 papers)Software Engineering Techniques and Practices (6 papers)Software Reliability and Analysis Research (2 papers)
Partner nations
United StatesCanadaChina

In The Last Decade

Jinfeng Lin

10 papers receiving 3.0k citations

Hit Papers

Divergence measures based on the Shannon entropy1991202620022014199150010001.5k2.0k2.5k

Peers

Jinfeng Lin
Comparison fields: 5 of 185
  • Artificial Intelligence 1.1k
  • Computer Vision and Pattern Recognition 476
  • Molecular Biology 433
  • Statistical and Nonlinear Physics 399
  • Information Systems 352
Replace Ameet Talwalkar with:
Ameet Talwalkar United States
Wray Buntine Australia
Edwin V. Bonilla Australia
Zoubin Ghahramani United Kingdom
Daniel Hsu United States
Yutian Chen China
Alex M. Andrew United Kingdom
Kathryn Blackmond Laskey United States
Iain Murray United Kingdom
Takuji Nishimura Japan
Jinfeng Lin relative to Ameet Talwalkar United States Ameet Talwalkar's profile →
Citations per field
00.5×1.5×2.2×
Ameet Talwalkar · 1×
Citations per year

Countries citing papers authored by Jinfeng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Jinfeng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinfeng Lin

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 0
2 3
3 9
4 77
5 2
6 8
7 1
8 5
9 0
10 7
11
Divergence measures based on the Shannon entropybreakdown →
2975
12 43

About Jinfeng Lin

Jinfeng Lin is a scholar working on Software, Computer Science Applications and Information Systems, having authored 12 papers that have together received 3.1k indexed citations. Recurring topics across this work include Software Engineering Research (8 papers), Software Engineering Techniques and Practices (6 papers) and Software Reliability and Analysis Research (2 papers). The work is most often cited by research in Artificial Intelligence (1.1k citations), Statistical and Nonlinear Physics (399 citations) and Statistics and Probability (210 citations). Jinfeng Lin has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Yalin Liu, Jane Cleland‐Huang, S. K. M. Wong, Qingkai Zeng, Meng Jiang, Jin Guo, Alexander Rasin, Ronald Metoyer, Zheng Cao and Lijun Tian. Their work appears in journals such as PLoS ONE, IEEE Transactions on Information Theory and Empirical Software Engineering.

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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