Changcheng Li

9.0k citations
95 papers · 5.6k indexed · 2 hit papers · h-index 19

Impact in

Papers in

Changcheng Li

85 papers receiving 5.5k citations

Hit Papers

Graph neural networks: A review of methods and applications 2020 · 3.2k citations
3.2k201820262020202310002.0k3.0k

Peers

Changcheng Li
Comparison fields: 5 of 198
  • Artificial Intelligence 1.9k
  • Computer Vision and Pattern Recognition 722
  • Statistical and Nonlinear Physics 428
  • Renewable Energy, Sustainability and the Environment 544
  • Transportation 184
Replace Feng Qian with:
Feng Qian China
Abhishek Kumar India
Yang Li China
Hai Wang China
Hong Wang China
Yan Wang China
Xian Wu China
Jianqiang Li China
Jinyan Li China
Jing Sun United States
Changcheng Li relative to Feng Qian China Feng Qian's profile →
Citations per field
00.5×3.3×
Feng Qian · 1×
Citations per year

Countries citing papers authored by Changcheng Li

Since Specialization
Citations

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

Fields of papers citing papers by Changcheng Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20247
3 20242
4 20241
5 20243
6 202311
7 20239
8 20223
9 20224
10 202211
11 2021123
12 20218
13 2020127
14 202013
15 202010
16 202018
17 2020213
18 2019169
19
Post-Evaluation Method of Highway Meteorological Disaster in Flood Seasons Based on Grey Clustering and AHP
20112
20
Object-based multi-subject access control model
20051

About Changcheng Li

Changcheng Li is a scholar working on Endocrinology, Biotechnology, Ecological Modeling, Food Science and Computer Vision and Pattern Recognition, having authored 95 papers that have together received 5.6k indexed citations. Recurring topics across this work include Listeria monocytogenes in Food Safety (11 papers), Bacterial biofilms and quorum sensing (9 papers), Bacterial Genetics and Biotechnology (8 papers), Microbial Inactivation Methods (7 papers), Bone and Dental Protein Studies (5 papers), Essential Oils and Antimicrobial Activity (5 papers), Video Surveillance and Tracking Methods (4 papers) and Evaluation Methods in Various Fields (4 papers). The work is most often cited by research in Artificial Intelligence (1.9k citations), Computer Vision and Pattern Recognition (722 citations), Statistical and Nonlinear Physics (428 citations), Renewable Energy, Sustainability and the Environment (544 citations) and Transportation (184 citations). Changcheng Li has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Maosong Sun, Cheng Yang, Ganqu Cui, Zhengyan Zhang, Zhiyuan Liu, Shengding Hu, Jie Zhou, Lifeng Wang, Fengming Zhang and Lifeng Wang. Their work appears in journals such as Food Control, Journal of Materials Chemistry A, Ecological Indicators, Journal of Food Science and Journal of Dairy Science.

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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