Mengdi Li

1.3k citations
58 papers · 940 · h-index 17

Impact in

Papers in

Mengdi Li

53 papers receiving 928 citations

Peers

Mengdi Li
Comparison fields: 5 of 130
  • Geochemistry and Petrology 127
  • Environmental Chemistry 147
  • Environmental Engineering 133
  • Management, Monitoring, Policy and Law 100
  • Global and Planetary Change 165
Replace Qingren Wang with:
Qingren Wang United States
Jiaxin Zhang China
Jun Tu China
Yu Feng China
Zhe Xu China
Bharat Singh India
Xiuhua Liu China
Yue Qian China
Qiang Chen China
Jessica Veenstra United States
Mengdi Li relative to Qingren Wang United States Qingren Wang's profile →
Citations per field
00.5×4.4×
Qingren Wang · 1×
Citations per year

Countries citing papers authored by Mengdi Li

Since Specialization
Citations

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

Fields of papers citing papers by Mengdi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mengdi 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 Mengdi Li Line = papers co-authored together Mengdi Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201194
2 201275
3 202072
4 202268
5 202068
6 202053
7 201843
8 201137
9 202331
10 201929
11 202023
12 201820
13 201920
14 201920
15 201618
16 202318
17 202317
18 202316
19 202216
20 201916

About Mengdi Li

Mengdi Li is a scholar working on Global and Planetary Change, Artificial Intelligence, Computer Vision and Pattern Recognition, Environmental Engineering and Ecology, having authored 58 papers that have together received 940 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (6 papers), Land Use and Ecosystem Services (5 papers), Atmospheric and Environmental Gas Dynamics (5 papers), Flood Risk Assessment and Management (4 papers), Aluminum Alloy Microstructure Properties (4 papers), Arsenic contamination and mitigation (4 papers), Natural Language Processing Techniques (3 papers) and Advanced Steganography and Watermarking Techniques (3 papers). The work is most often cited by research in Geochemistry and Petrology (127 citations), Environmental Chemistry (147 citations), Environmental Engineering (133 citations), Management, Monitoring, Policy and Law (100 citations) and Global and Planetary Change (165 citations). Mengdi Li has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xianjun Xie, Junxia Li, Chunli Su, Yanxin Wang, Eugene Ch’ng, Alain Yee‐Loong Chong, Xudong Hu, Simon See, Guoping Zhang and Lingzhen Ye. Their work appears in journals such as The Science of The Total Environment, Journal of Hydrology, Computers and Electronics in Agriculture, Remote Sensing and Industrial Management & Data Systems.

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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