Linjing Li
Impact in
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- Nonlinear Waves and Solitons
- Nonlinear Photonic Systems
- Information Systems top 5%
- Spam and Phishing Detection
- Blockchain Technology Applications and Security
Papers in
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- Topic Modeling 25
- Advanced Graph Neural Networks 17
- Natural Language Processing Techniques 7
- Advanced Text Analysis Techniques 7
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- Spam and Phishing Detection 6
- Co-authors
- Daniel Zeng (48 shared papers)Lihong V. Wang (2 shared papers)Jingsong He (2 shared papers)Jiaqi Liang (6 shared papers)Zikang Wang (12 shared papers)K. Porsezian (1 shared paper)R. Erdélyi (1 shared paper)Zhiwei Wu (1 shared paper)
- Journals
- Neurocomputing (3 papers)IEEE Transactions on Intelligent Transportation Systems (2 papers)Knowledge-Based Systems (2 papers)IEEE Access (2 papers)Journal of the Association for Information Systems (2 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Linjing Li
69 papers receiving 940 citations
Peers
Comparison fields: 5 of 125
- Statistical and Nonlinear Physics 277
- Information Systems 235
- Modeling and Simulation 36
- Artificial Intelligence 230
- Signal Processing 64
Countries citing papers authored by Linjing Li
This map shows the geographic impact of Linjing Li'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 Linjing Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linjing Li more than expected).
Fields of papers citing papers by Linjing Li
This network shows the impact of papers produced by Linjing Li. 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 Linjing Li. The network helps show where Linjing Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Linjing Li, 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 124 | |
| 2 | 2013 | 85 | |
| 3 | 2017 | 68 | |
| 4 | 2018 | 67 | |
| 5 | 2019 | 61 | |
| 6 | 2023 | 42 | |
| 7 | 2022 | 39 | |
| 8 | 2017 | 39 | |
| 9 | 2010 | 32 | |
| 10 | 2010 | 27 | |
| 11 | 2006 | 23 | |
| 12 | 2019 | 21 | |
| 13 | 2019 | 18 | |
| 14 | 2015 | 17 | |
| 15 | 2020 | 16 | |
| 16 | 2023 | 16 | |
| 17 | 2023 | 16 | |
| 18 | 2023 | 15 | |
| 19 | 2024 | 15 | |
| 20 | 2021 | 15 |
About Linjing Li
Linjing Li is a scholar working on Artificial Intelligence, Information Systems, Statistical and Nonlinear Physics, Management Science and Operations Research and Computer Vision and Pattern Recognition, having authored 87 papers that have together received 995 indexed citations. Recurring topics across this work include Topic Modeling (25 papers), Advanced Graph Neural Networks (17 papers), Consumer Market Behavior and Pricing (7 papers), Complex Network Analysis Techniques (7 papers), Natural Language Processing Techniques (7 papers), Auction Theory and Applications (7 papers), Advanced Text Analysis Techniques (7 papers) and Spam and Phishing Detection (6 papers). The work is most often cited by research in Statistical and Nonlinear Physics (277 citations), Information Systems (235 citations), Modeling and Simulation (36 citations), Artificial Intelligence (230 citations) and Signal Processing (64 citations). Linjing Li has collaborated with scholars based in China, United States and India. Frequent co-authors include Daniel Zeng, Lihong V. Wang, Jingsong He, Jiaqi Liang, Zikang Wang, K. Porsezian, R. Erdélyi, Zhiwei Wu, Hua Zhang and Qiudan Li. Their work appears in journals such as Neurocomputing, IEEE Transactions on Intelligent Transportation Systems, Knowledge-Based Systems, IEEE Access and Journal of the Association for Information Systems.
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.