Mengjun Li

1.6k citations
92 papers · 1.2k · h-index 19

Impact in

Papers in

Mengjun Li

85 papers receiving 1.2k citations

Peers

Mengjun Li
Comparison fields: 5 of 112
  • Electrical and Electronic Engineering 432
  • Health Informatics 9
  • Automotive Engineering 82
  • Geriatrics and Gerontology 20
  • Electronic, Optical and Magnetic Materials 110
Replace Yuling Chen with:
Yuling Chen China
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Yue Duan China
Woo Sung Choi South Korea
Soojung Lee South Korea
Yingying Hu China
Xinyi Sun China
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Mengjun Li relative to Yuling Chen China Yuling Chen's profile →
Citations per field
00.5×4.5×
Yuling Chen · 1×
Citations per year

Countries citing papers authored by Mengjun Li

Since Specialization
Citations

This map shows the geographic impact of Mengjun Li'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 Mengjun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mengjun Li more than expected).

Fields of papers citing papers by Mengjun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mengjun Li. 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 Mengjun Li. The network helps show where Mengjun Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Mengjun Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mengjun Li Line = papers co-authored together Mengjun Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202378
2 201476
3 202367
4 202460
5 202152
6 202245
7 201644
8 201240
9 201332
10 202429
11 202127
12 202225
13 201325
14 202225
15 201523
16 201621
17 202020
18 202319
19 202318
20 201718

About Mengjun Li

Mengjun Li is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 92 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced battery technologies research (15 papers), Advanced Battery Materials and Technologies (15 papers), Advanced Neuroimaging Techniques and Applications (13 papers), Advancements in Battery Materials (9 papers), Traumatic Brain Injury Research (7 papers), Fetal and Pediatric Neurological Disorders (5 papers), Advanced Battery Technologies Research (5 papers) and Supercapacitor Materials and Fabrication (5 papers). The work is most often cited by research in Electrical and Electronic Engineering (432 citations), Health Informatics (9 citations), Automotive Engineering (82 citations), Geriatrics and Gerontology (20 citations) and Electronic, Optical and Magnetic Materials (110 citations). Mengjun Li has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Shuangjie Wu, Kai Jiang, Yifan Tang, Hongyu Mi, Lixian Sun, Chenchen Ji, Yu Gan, Jun Liu, Kangli Wang and Jun Liu. Their work appears in journals such as Advanced Functional Materials, NMR in Biomedicine, Human Brain Mapping, Clinical Anatomy and ACS Applied Materials & Interfaces.

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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