Junlin Wu
Impact in
- Automotive Engineering top 10%
- Advanced Battery Technologies Research
-
- Recycling and Waste Management Techniques
Papers in
-
- Advancements in Battery Materials 13
- Advanced Battery Materials and Technologies 11
- Advanced battery technologies research 6
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- Gut microbiota and health 2
- Co-authors
- Elvis Saravia (1 shared paper)Yi-Shin Chen (1 shared paper)Yen-Hao Huang (1 shared paper)Zheng Chen (14 shared papers)Anwar Khan (3 shared papers)Ding S. Shih (3 shared papers)Shifang Jia (2 shared papers)Dong Ju Lee (6 shared papers)
- Journals
- Advanced Energy Materials (3 papers)Advanced Functional Materials (2 papers)BMC Psychiatry (2 papers)ACS Energy Letters (2 papers)Engineering Applications of Artificial Intelligence (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Junlin Wu
43 papers receiving 690 citations
Peers
Comparison fields: 5 of 107
- Automotive Engineering 85
- Industrial and Manufacturing Engineering 53
- Artificial Intelligence 136
- Electrical and Electronic Engineering 242
- Mechanical Engineering 126
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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 170 | |
| 2 | 2023 | 73 | |
| 3 | 2019 | 66 | |
| 4 | 2023 | 65 | |
| 5 | 2001 | 29 | |
| 6 | 2023 | 27 | |
| 7 | 2001 | 27 | |
| 8 | 2012 | 19 | |
| 9 | 2023 | 19 | |
| 10 | 2021 | 18 | |
| 11 | 2025 | 16 | |
| 12 | 2023 | 16 | |
| 13 | 2023 | 15 | |
| 14 | 2017 | 14 | |
| 15 | 2024 | 14 | |
| 16 | 2024 | 13 | |
| 17 | 2024 | 12 | |
| 18 | 2024 | 11 | |
| 19 | 2001 | 11 | |
| 20 | Application of Probiotics in Aquaculture | 2004 | 11 |
About Junlin Wu
Junlin Wu is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Automotive Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 49 papers that have together received 710 indexed citations. Recurring topics across this work include Advancements in Battery Materials (13 papers), Advanced Battery Materials and Technologies (11 papers), Advanced Battery Technologies Research (6 papers), Advanced battery technologies research (6 papers), Extraction and Separation Processes (3 papers), Image and Object Detection Techniques (2 papers), Gut microbiota and health (2 papers) and Industrial Vision Systems and Defect Detection (2 papers). The work is most often cited by research in Automotive Engineering (85 citations), Industrial and Manufacturing Engineering (53 citations), Artificial Intelligence (136 citations), Electrical and Electronic Engineering (242 citations) and Mechanical Engineering (126 citations). Junlin Wu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Elvis Saravia, Yi-Shin Chen, Yen-Hao Huang, Zheng Chen, Anwar Khan, Ding S. Shih, Shifang Jia, Dong Ju Lee, Hongpeng Gao and Wei Tang. Their work appears in journals such as Advanced Energy Materials, Advanced Functional Materials, BMC Psychiatry, ACS Energy Letters and Engineering Applications of Artificial Intelligence.
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.