Mengxiang Li

661 total citations
24 papers, 433 citations indexed

About

Mengxiang Li is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Rheumatology. According to data from OpenAlex, Mengxiang Li has authored 24 papers receiving a total of 433 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Computer Vision and Pattern Recognition and 5 papers in Rheumatology. Recurrent topics in Mengxiang Li's work include Fermentation and Sensory Analysis (4 papers), Advanced Vision and Imaging (4 papers) and Optical measurement and interference techniques (4 papers). Mengxiang Li is often cited by papers focused on Fermentation and Sensory Analysis (4 papers), Advanced Vision and Imaging (4 papers) and Optical measurement and interference techniques (4 papers). Mengxiang Li collaborates with scholars based in China, Sweden and France. Mengxiang Li's co-authors include Jean‐Marc Lavest, Hongjie Wang, Ling Liu, Yali Wang, Shigang Shen, Wenjing Wang, Xiaogang Wei, Yu Zhang, Xingchun Liu and Yanru Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Analytical Chemistry.

In The Last Decade

Mengxiang Li

22 papers receiving 420 citations

Peers

Mengxiang Li
Comparison fields: 5 of 107
  • Computer Vision and Pattern Recognition 122
  • Environmental Engineering 83
  • Food Science 69
  • Pollution 56
  • Ecology 56
Replace Raimund Leitner with:
Raimund Leitner Austria
Caiyu Liu China
Bing Lu China
Jinbao Liu China
Saroj Ahirwar India
Arash Toudeshki United States
Jiehong Cheng China
Mohammad Naeem Pakistan
H.J. Olsen Sweden
Raimund Leitner Austria View profile →
Citations per field, relative to Mengxiang Li
Mengxiang Li · 1×
Citations per year, relative to Mengxiang Li
Mengxiang Li · 1×

Countries citing papers authored by Mengxiang Li

Since Specialization
Citations

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

Fields of papers citing papers by Mengxiang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mengxiang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Mengxiang Li. A scholar is included among the top collaborators of Mengxiang Li 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 Mengxiang Li. Mengxiang Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 4
3 0
4 10
5 2
6 1
7 15
8 4
9 3
10 68
11 8
12 7
13 6
14 34
15 1
16 92
17 4
18 10
19 25
20 101

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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