Beibei Cheng

542 citations
17 papers · 398 · h-index 8

Impact in

Papers in

Beibei Cheng

17 papers receiving 392 citations

Peers

Beibei Cheng
Comparison fields: 5 of 78
  • Environmental Engineering 145
  • Economics and Econometrics 232
  • Renewable Energy, Sustainability and the Environment 101
  • Health, Toxicology and Mutagenesis 42
  • Computer Vision and Pattern Recognition 44
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Citations per field
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Citations per year

Countries citing papers authored by Beibei Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Beibei Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2015141
2 2015126
3 202121
4 201021
5 201221
6 201119
7 20119
8 20128
9
A novel computational intelligence-based approach for medical image artifacts detection
20107
10 20175
11 20135
12 20145
13
Data fusion by using machine learning and computational intelligence techniques for medical image analysis and classification
20123
14 20213
15 20242
16
Automatic vessel and telangiectases analysis in dermoscopy skin lesion images
20091
17 20111

About Beibei Cheng

Beibei Cheng is a scholar working on Computer Vision and Pattern Recognition, Oncology, Artificial Intelligence, Environmental Engineering and Dermatology, having authored 17 papers that have together received 398 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (4 papers), Environmental Impact and Sustainability (4 papers), Image Retrieval and Classification Techniques (4 papers), Climate Change Policy and Economics (3 papers), Machine Learning in Bioinformatics (2 papers), AI in cancer detection (2 papers), Optical Coherence Tomography Applications (2 papers) and Energy, Environment, and Transportation Policies (2 papers). The work is most often cited by research in Environmental Engineering (145 citations), Economics and Econometrics (232 citations), Renewable Energy, Sustainability and the Environment (101 citations), Health, Toxicology and Mutagenesis (42 citations) and Computer Vision and Pattern Recognition (44 citations). Beibei Cheng has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Daiqing Zhao, Hancheng Dai, Toshihiko Masui, Peng Wang, Peng Wang, Yang Xie, Li Chen, R. Joe Stanley, George R. Thoma and Sameer Antani. Their work appears in journals such as Skin Research and Technology, Energy Policy, Energy Sustainable Development, Sustainability and International Journal of Sustainable Energy.

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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