Lu Jin

16 papers receiving 271 citations

Peers

Lu Jin
Comparison fields: 5 of 87
  • Electrical and Electronic Engineering 71
  • Molecular Biology 48
  • Pulmonary and Respiratory Medicine 46
  • Control and Systems Engineering 43
  • Public Health, Environmental and Occupational Health 32
Replace Zhaoguang Liang with:
Zhaoguang Liang China
Ahmad Haidar Canada
Lixue Wang China
Kento Yamada Japan
Jiaojiao Yang China
Shinuk Kim South Korea
Felix Sternberg Austria
Pallab K. Ganguly Canada
Mingxuan Wang China
Lijuan Lu China
Lu Jin relative to Zhaoguang Liang China Zhaoguang Liang's profile →
Citations per field
00.5×7.1×
Zhaoguang Liang · 1×
Citations per year

Countries citing papers authored by Lu Jin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Lu Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Lu Jin. A scholar is included among the top collaborators of Lu Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lu Jin. Lu Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
#WorkIndexed citations
1 2
2 0
3 11
4 33
5 16
6 37
7 35
8 1
9 11
10 37
11 1
12
RESEARCH ON THE DC FAULTS INMULTI-TERMINAL DC TRANSMISSIONSYSTEM BASED ON MMC
9
13
[A prospective comparison between surgery alone and postoperative chemoradiotherapy for locally advanced esophageal squamous cell carcinoma].
10
14 21
15
Near infrared spectroscopic model for determinating total catechins in tea polyphenol powder based on radical basis function network
0
16
[Near infrared determination of the content of caffeine in tea polyphenol].
4
17
The Clinical Study of Prognostic Factors of Nasopharyngeal Carcinoma
2
18 46

About Lu Jin

Lu Jin is a scholar working on Energy Engineering and Power Technology, Behavioral Neuroscience and Otorhinolaryngology, having authored 18 papers that have together received 276 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (2 papers), Immune cells in cancer (2 papers) and Stress Responses and Cortisol (1 paper). The work is most often cited by research in Behavioral Neuroscience (12 citations), Neurology (27 citations) and Endocrine and Autonomic Systems (22 citations). Lu Jin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include S.M. Rovnyak, Weimin Ma, James S. Thorp, Chih‐Wen Liu, Wei Zhu, Fan Li, Zhong Chen, Qiyang Shou, Minli Chen and Quanxin Ma. Their work appears in journals such as IEEE Transactions on Power Systems, BioMed Research International and International Journal of Nanomedicine.

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.

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