Menglin Li

579 total citations
26 papers, 389 citations indexed

About

Menglin Li is a scholar working on Transportation, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Menglin Li has authored 26 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Transportation, 7 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Menglin Li's work include Human Mobility and Location-Based Analysis (8 papers), Traffic Prediction and Management Techniques (4 papers) and Data Management and Algorithms (4 papers). Menglin Li is often cited by papers focused on Human Mobility and Location-Based Analysis (8 papers), Traffic Prediction and Management Techniques (4 papers) and Data Management and Algorithms (4 papers). Menglin Li collaborates with scholars based in China, Taiwan and Singapore. Menglin Li's co-authors include Xiangjie Kong, Feng Xia, Liangtian Wan, Behrouz Jedari, Tao Tang, Luís Moreira-Matias, Jianxin Li, Mengyuan Wang, Zhaolong Ning and Yong Xiang and has published in prestigious journals such as IEEE Access, IEEE Transactions on Industrial Informatics and IEEE Internet of Things Journal.

In The Last Decade

Menglin Li

23 papers receiving 376 citations

Peers

Menglin Li
Comparison fields: 5 of 83
  • Transportation 159
  • Artificial Intelligence 81
  • Building and Construction 81
  • Computer Networks and Communications 71
  • Electrical and Electronic Engineering 57
Replace Yu-Ling Hsueh with:
Yu-Ling Hsueh Taiwan
Billy Pik Lik Lau Singapore
Zhidan Liu China
Sirajum Munir United States
Divya Bansal India
Jeff Ban United States
Nam Pham United States
Leon Stenneth United States
Danilo Valerio Austria
Yu-Ling Hsueh Taiwan View profile →
Citations per field, relative to Menglin Li
Menglin Li · 1×
Citations per year, relative to Menglin Li
Menglin Li · 1×

Countries citing papers authored by Menglin Li

Since Specialization
Citations

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

Fields of papers citing papers by Menglin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Menglin Li

This figure shows the co-authorship network connecting the top 25 collaborators of Menglin Li. A scholar is included among the top collaborators of Menglin 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 Menglin Li. Menglin 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 0
3 1
4 2
5 6
6 12
7 10
8 5
9 12
10 18
11 41
12 2
13 23
14 54
15 0
16 4
17 9
18 5
19 1
20 3

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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