Cong Lin

1.7k citations
73 papers · 1.3k indexed · h-index 19

Cong Lin

67 papers receiving 1.3k citations

Peers

Cong Lin
Comparison fields: 5 of 135
  • Media Technology 416
  • Software 174
  • Safety, Risk, Reliability and Quality 337
  • Statistics, Probability and Uncertainty 179
  • Atmospheric Science 265
Replace Арун Кумар with:
Арун Кумар India
Timothy Masters United States
Zhong Zhang China
Tao Sun China
Marija Bačauskienė Lithuania
Elisabetta Binaghi Italy
Xiao Liu China
Bin Chen China
Cong Lin relative to Арун Кумар India Арун Кумар's profile →
Citations per field
00.5×10×12.8×
Арун Кумар · 1×
Citations per year

Countries citing papers authored by Cong Lin

Since Specialization
Citations

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

Fields of papers citing papers by Cong Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20246
3 20244
4 20232
5 20232
6 20238
7 20220
8 202016
9 20203
10 202080
11 202062
12
Construction of urban ecological security pattern and construction land development based on MCR Model.
20183
13 2017248
14 20176
15 201739
16 201615
17 201414
18 201458
19 201411
20 20118

About Cong Lin

Cong Lin is a scholar working on Media Technology, Software, Safety, Risk, Reliability and Quality, Aging and Statistics, Probability and Uncertainty, having authored 73 papers that have together received 1.3k indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (18 papers), Remote Sensing and Land Use (14 papers), Reliability and Maintenance Optimization (13 papers), Remote Sensing in Agriculture (12 papers), Software Reliability and Analysis Research (7 papers), Statistical Distribution Estimation and Applications (6 papers), Advanced Image Fusion Techniques (5 papers) and Advanced MEMS and NEMS Technologies (5 papers). The work is most often cited by research in Media Technology (416 citations), Software (174 citations), Safety, Risk, Reliability and Quality (337 citations), Statistics, Probability and Uncertainty (179 citations) and Atmospheric Science (265 citations). Cong Lin has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Peijun Du, Erzhu Li, Alim Samat, Junshi Xia, Lirong Cui, Xin Wang, Sicong Liu, Qingan Qiu, Jingjing Wang and Shanchuan Guo. Their work appears in journals such as Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, Reliability Engineering & System Safety, IEEE Geoscience and Remote Sensing Letters and Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability.

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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