Lin Jiang
Impact in
- Software top 5%
- Software Reliability and Analysis Research
- Software Testing and Debugging Techniques
- Information Systems top 5%
- Software Engineering Research
- Blockchain Technology Applications and Security
Papers in
-
- Software Engineering Research 6
- Blockchain Technology Applications and Security 3
- Co-authors
- Hongliang Liang (9 shared papers)Yue Yu (2 shared papers)He Jiang (2 shared papers)Hui Liu (1 shared paper)Klaas-Jan Stol (1 shared paper)Ming Cao (1 shared paper)Zhiwei Shi (1 shared paper)Jianwei Zhuge (1 shared paper)
In The Last Decade
Lin Jiang
28 papers receiving 432 citations
Peers
Comparison fields: 5 of 52
- Software 154
- Information Systems 257
- Signal Processing 103
- Computer Networks and Communications 139
- Artificial Intelligence 149
Countries citing papers authored by Lin Jiang
This map shows the geographic impact of Lin Jiang'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 Lin Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Jiang more than expected).
Fields of papers citing papers by Lin Jiang
This network shows the impact of papers produced by Lin Jiang. 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 Lin Jiang. The network helps show where Lin Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Jiang, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 78 | |
| 2 | 2022 | 58 | |
| 3 | 2020 | 55 | |
| 4 | 2019 | 39 | |
| 5 | 2020 | 31 | |
| 6 | 2019 | 30 | |
| 7 | 2020 | 26 | |
| 8 | 2019 | 17 | |
| 9 | 2012 | 15 | |
| 10 | 2022 | 15 | |
| 11 | 2021 | 13 | |
| 12 | 2022 | 12 | |
| 13 | 2020 | 9 | |
| 14 | 2019 | 7 | |
| 15 | 2019 | 7 | |
| 16 | 2023 | 5 | |
| 17 | 2018 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2014 | 4 | |
| 20 | 2021 | 3 |
About Lin Jiang
Lin Jiang is a scholar working on Information Systems, Artificial Intelligence, Signal Processing, Software and Computer Vision and Pattern Recognition, having authored 31 papers that have together received 446 indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (9 papers), Software Testing and Debugging Techniques (8 papers), Software Reliability and Analysis Research (7 papers), Software Engineering Research (6 papers), Face and Expression Recognition (3 papers), Multimodal Machine Learning Applications (3 papers), Quantum optics and atomic interactions (3 papers) and Blockchain Technology Applications and Security (3 papers). The work is most often cited by research in Software (154 citations), Information Systems (257 citations), Signal Processing (103 citations), Computer Networks and Communications (139 citations) and Artificial Intelligence (149 citations). Lin Jiang has collaborated with scholars based in China, Germany and Ireland. Frequent co-authors include Hongliang Liang, Yue Yu, He Jiang, Hui Liu, Hui Liu, Klaas-Jan Stol, Ming Cao, Zhiwei Shi, Jianwei Zhuge and Na Han. Their work appears in journals such as Computer Modeling in Engineering & Sciences, Future Internet, International Journal of Machine Learning and Cybernetics, Knowledge-Based Systems and IEEE Access.
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.