Nanlin Jin
Impact in
- Artificial Intelligence top 10%
- Data Stream Mining Techniques
- Anomaly Detection Techniques and Applications
Papers in
-
- Data Stream Mining Techniques 9
- Anomaly Detection Techniques and Applications 7
- Machine Learning and Data Classification 6
- Evolutionary Algorithms and Applications 4
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- Fault Detection and Control Systems 4
- Machine Fault Diagnosis Techniques 4
- Co-authors
- Peter Flach (3 shared papers)Aihua Zhang (3 shared papers)Zhiwei Gao (3 shared papers)Reem Alotaibi (1 shared paper)Edward Tsang (6 shared papers)Klaus Hubacek (5 shared papers)Claire H. Quinn (2 shared papers)Mark S. Reed (2 shared papers)
- Journals
- IEEE Transactions on Industrial Informatics (2 papers)Applied Soft Computing (2 papers)Geomatics Natural Hazards and Risk (1 paper)Computational Economics (1 paper)Computers in Industry (1 paper)
- Partner nations
- United KingdomChinaChile
In The Last Decade
Nanlin Jin
40 papers receiving 622 citations
Peers
Comparison fields: 5 of 106
- Management Science and Operations Research 77
- Artificial Intelligence 172
- Control and Systems Engineering 119
- Global and Planetary Change 79
- Electrical and Electronic Engineering 197
Countries citing papers authored by Nanlin Jin
This map shows the geographic impact of Nanlin Jin'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 Nanlin Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nanlin Jin more than expected).
Fields of papers citing papers by Nanlin Jin
This network shows the impact of papers produced by Nanlin Jin. 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 Nanlin Jin. The network helps show where Nanlin Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Nanlin Jin, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 114 | |
| 2 | 2016 | 96 | |
| 3 | 2021 | 94 | |
| 4 | 2019 | 64 | |
| 5 | 2014 | 27 | |
| 6 | 2019 | 22 | |
| 7 | 2009 | 19 | |
| 8 | 2014 | 15 | |
| 9 | 2022 | 14 | |
| 10 | 2006 | 14 | |
| 11 | 2023 | 14 | |
| 12 | Population Based Incremental Learning Versus Genetic Algorithms: Iterated Prisoners Dilemma | 2004 | 13 |
| 13 | 2021 | 11 | |
| 14 | 2022 | 10 | |
| 15 | 2023 | 10 | |
| 16 | 2008 | 9 | |
| 17 | 2018 | 9 | |
| 18 | 2019 | 8 | |
| 19 | 2005 | 8 | |
| 20 | 2007 | 8 |
About Nanlin Jin
Nanlin Jin is a scholar working on Artificial Intelligence, Control and Systems Engineering, Management Science and Operations Research, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 49 papers that have together received 652 indexed citations. Recurring topics across this work include Data Stream Mining Techniques (9 papers), Anomaly Detection Techniques and Applications (7 papers), Machine Learning and Data Classification (6 papers), Fault Detection and Control Systems (4 papers), Machine Fault Diagnosis Techniques (4 papers), Evolutionary Algorithms and Applications (4 papers), Auction Theory and Applications (4 papers) and Game Theory and Voting Systems (4 papers). The work is most often cited by research in Management Science and Operations Research (77 citations), Artificial Intelligence (172 citations), Control and Systems Engineering (119 citations), Global and Planetary Change (79 citations) and Electrical and Electronic Engineering (197 citations). Nanlin Jin has collaborated with scholars based in United Kingdom, China and Chile. Frequent co-authors include Peter Flach, Aihua Zhang, Zhiwei Gao, Reem Alotaibi, Edward Tsang, Klaus Hubacek, Claire H. Quinn, Mark S. Reed, Joseph Holden and Tim Burt. Their work appears in journals such as IEEE Transactions on Industrial Informatics, Applied Soft Computing, Geomatics Natural Hazards and Risk, Computational Economics and Computers in Industry.
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.