Lu Jin
Impact in
Papers in
-
- Wind Turbine Control Systems 1
- Surgery 2
- Co-authors
- James S. Thorp (1 shared paper)S.M. Rovnyak (1 shared paper)Chih‐Wen Liu (1 shared paper)Weimin Ma (1 shared paper)Wei Zhu (1 shared paper)Fan Li (1 shared paper)Zhong Chen (1 shared paper)Dong Li (1 shared paper)
- Journals
- Journal of Ovarian Research (1 paper)European Journal of Pain (1 paper)Phytomedicine (1 paper)IEEE Transactions on Power Systems (1 paper)Pharmacology (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Lu Jin
17 papers receiving 288 citations
Peers
Comparison fields: 5 of 87
- Behavioral Neuroscience 9
- Neurology 20
- Control and Systems Engineering 46
- Complementary and alternative medicine 14
- Endocrine and Autonomic Systems 11
Countries citing papers authored by Lu Jin
This map shows the geographic impact of Lu 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 Lu Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lu Jin more than expected).
Fields of papers citing papers by Lu Jin
This network shows the impact of papers produced by Lu 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 Lu Jin. The network helps show where Lu Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Lu 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
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 48 | |
| 2 | 2019 | 38 | |
| 3 | 2015 | 37 | |
| 4 | 2018 | 36 | |
| 5 | 2021 | 35 | |
| 6 | 2009 | 24 | |
| 7 | 2020 | 16 | |
| 8 | 2023 | 13 | |
| 9 | 2017 | 11 | |
| 10 | [A prospective comparison between surgery alone and postoperative chemoradiotherapy for locally advanced esophageal squamous cell carcinoma]. | 2010 | 11 |
| 11 | RESEARCH ON THE DC FAULTS INMULTI-TERMINAL DC TRANSMISSIONSYSTEM BASED ON MMC | 2013 | 10 |
| 12 | 2025 | 6 | |
| 13 | [Near infrared determination of the content of caffeine in tea polyphenol]. | 2005 | 4 |
| 14 | The Clinical Study of Prognostic Factors of Nasopharyngeal Carcinoma | 2001 | 2 |
| 15 | 2018 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2014 | 1 | |
| 18 | Near infrared spectroscopic model for determinating total catechins in tea polyphenol powder based on radical basis function network | 2006 | 0 |
About Lu Jin
Lu Jin is a scholar working on Electrical and Electronic Engineering, Surgery, Molecular Biology, Oncology and Immunology, having authored 18 papers that have together received 294 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (2 papers), Immune cells in cancer (2 papers), Wind Turbine Control Systems (1 paper), Head and Neck Cancer Studies (1 paper), Menstrual Health and Disorders (1 paper), Second Language Acquisition and Learning (1 paper), Wound Healing and Treatments (1 paper) and Gout, Hyperuricemia, Uric Acid (1 paper). The work is most often cited by research in Behavioral Neuroscience (9 citations), Neurology (20 citations), Control and Systems Engineering (46 citations), Complementary and alternative medicine (14 citations) and Endocrine and Autonomic Systems (11 citations). Lu Jin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include James S. Thorp, S.M. Rovnyak, Chih‐Wen Liu, Weimin Ma, Wei Zhu, Fan Li, Zhong Chen, Dong Li, Qiyang Shou and Quanxin Ma. Their work appears in journals such as Journal of Ovarian Research, European Journal of Pain, Phytomedicine, IEEE Transactions on Power Systems and Pharmacology.
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.