Linjun Li

25 papers receiving 442 citations

Peers

Linjun Li
Comparison fields: 5 of 79
  • Environmental Engineering 183
  • Management, Monitoring, Policy and Law 67
  • Global and Planetary Change 114
  • Nature and Landscape Conservation 51
  • Economics and Econometrics 112
Replace Todd Sanderson with:
Todd Sanderson Australia
Ana Silva Switzerland
Hendrik Herold Germany
Yongyang Cai United States
Norbert Brunner Austria
Gerald M. Barber United States
Zhu Xiang China
Isabella Gollini Ireland
Hengji Li China
Franziska Wolff Germany
Linjun Li relative to Todd Sanderson Australia Todd Sanderson's profile →
Citations per field
00.5×4.3×
Todd Sanderson · 1×
Citations per year

Countries citing papers authored by Linjun Li

Since Specialization
Citations

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

Fields of papers citing papers by Linjun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201677
2 201652
3 201048
4 200941
5 201140
6 201434
7 201234
8 201328
9 201319
10 201410
11 20238
12 20238
13 20158
14 20207
15 20236
16 20236
17 20226
18 20245
19 20235
20 20244

About Linjun Li

Linjun Li is a scholar working on Environmental Engineering, Global and Planetary Change, Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence, having authored 26 papers that have together received 458 indexed citations. Recurring topics across this work include Sustainability and Ecological Systems Analysis (7 papers), Multimodal Machine Learning Applications (4 papers), Speech and Audio Processing (4 papers), Water Resources and Sustainability (2 papers), Spectral Theory in Mathematical Physics (2 papers), Housing Market and Economics (2 papers), Cognitive Science and Mapping (2 papers) and Music and Audio Processing (2 papers). The work is most often cited by research in Environmental Engineering (183 citations), Management, Monitoring, Policy and Law (67 citations), Global and Planetary Change (114 citations), Nature and Landscape Conservation (51 citations) and Economics and Econometrics (112 citations). Linjun Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hongfang Lü, Hai Ren, Vera Li, Hong Zhang, Daniel E. Campbell, Eddie C.M. Hui, Tiantian Chen, David R. Tilley, Zhou Zhao and Qianmei Zhang. Their work appears in journals such as Ecological Modelling, Ecological Indicators, Rock and Soil Mechanics, Duke Mathematical Journal and Atmospheric Pollution Research.

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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