Junlin Wu
Impact in
- Artificial Intelligence top 10%
- Sentiment Analysis and Opinion Mining
- Topic Modeling
- Domain Adaptation and Few-Shot Learning
-
- Advanced Battery Materials and Technologies
- Advancements in Battery Materials
Papers in
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- Advanced Battery Materials and Technologies 7
- Advancements in Battery Materials 5
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- Adversarial Robustness in Machine Learning 4
- Reinforcement Learning in Robotics 2
- Co-authors
- Yi-Shin Chen (1 shared paper)Yen-Hao Huang (1 shared paper)Elvis Saravia (1 shared paper)Zheng Chen (16 shared papers)Anwar Khan (3 shared papers)Ding S. Shih (3 shared papers)Dong Ju Lee (7 shared papers)Wei Xue Tang (6 shared papers)
- Journals
- ACS Energy Letters (3 papers)Advanced Energy Materials (3 papers)BMC Psychiatry (2 papers)Advanced Functional Materials (2 papers)Frontiers in Endocrinology (1 paper)
- Partner nations
- United StatesChinaSouth Korea
In The Last Decade
Junlin Wu
47 papers receiving 801 citations
Peers
Comparison fields: 5 of 92
- Artificial Intelligence 166
- Electrical and Electronic Engineering 230
- Mechanical Engineering 113
- Experimental and Cognitive Psychology 38
- Biomedical Engineering 73
Countries citing papers authored by Junlin Wu
This map shows the geographic impact of Junlin Wu'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 Junlin Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junlin Wu more than expected).
Fields of papers citing papers by Junlin Wu
This network shows the impact of papers produced by Junlin Wu. 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 Junlin Wu. The network helps show where Junlin Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junlin Wu, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 211 | |
| 2 | 2023 | 79 | |
| 3 | 2023 | 74 | |
| 4 | 2019 | 68 | |
| 5 | 2023 | 34 | |
| 6 | 2001 | 29 | |
| 7 | 2001 | 27 | |
| 8 | 2025 | 26 | |
| 9 | 2023 | 22 | |
| 10 | 2012 | 20 | |
| 11 | 2021 | 20 | |
| 12 | 2023 | 17 | |
| 13 | 2023 | 17 | |
| 14 | 2024 | 16 | |
| 15 | Application of Probiotics in Aquaculture | 2004 | 15 |
| 16 | 2024 | 15 | |
| 17 | 2024 | 15 | |
| 18 | 2025 | 15 | |
| 19 | 2017 | 14 | |
| 20 | 2024 | 14 |
About Junlin Wu
Junlin Wu is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Physiology, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 51 papers that have together received 828 indexed citations. Recurring topics across this work include Advanced Battery Materials and Technologies (7 papers), Advancements in Battery Materials (5 papers), Adversarial Robustness in Machine Learning (4 papers), Extraction and Separation Processes (3 papers), Plant-Microbe Interactions and Immunity (2 papers), Reinforcement Learning in Robotics (2 papers), Robotics and Sensor-Based Localization (2 papers) and Suicide and Self-Harm Studies (2 papers). The work is most often cited by research in Artificial Intelligence (166 citations), Electrical and Electronic Engineering (230 citations), Mechanical Engineering (113 citations), Experimental and Cognitive Psychology (38 citations) and Biomedical Engineering (73 citations). Junlin Wu has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Yi-Shin Chen, Yen-Hao Huang, Elvis Saravia, Zheng Chen, Anwar Khan, Ding S. Shih, Dong Ju Lee, Wei Xue Tang, John J. Holoubek and Hongpeng Gao. Their work appears in journals such as ACS Energy Letters, Advanced Energy Materials, BMC Psychiatry, Advanced Functional Materials and Frontiers in Endocrinology.
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.