Xiaobing Chen

965 citations
27 papers · 670 · h-index 12

Impact in

Papers in

Xiaobing Chen

25 papers receiving 650 citations

Peers

Xiaobing Chen
Comparison fields: 5 of 119
  • Artificial Intelligence 304
  • Environmental Engineering 78
  • Health, Toxicology and Mutagenesis 64
  • Computer Vision and Pattern Recognition 87
  • Civil and Structural Engineering 77
Replace Jia-Wei Chang with:
Jia-Wei Chang Taiwan
Xupeng Wang China
Wenbo Zhu China
Nguyễn Thị Thu Thủy Vietnam
Alexei Botchkarev Canada
Ting Shu China
Haydar Abdulameer Marhoon Iraq
He Min China
Zhifang Yang China
Xiaobing Chen relative to Jia-Wei Chang Taiwan Jia-Wei Chang's profile →
Citations per field
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Jia-Wei Chang · 1×
Citations per year

Countries citing papers authored by Xiaobing Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobing Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021158
2 2021116
3 201998
4 202153
5 202444
6 202425
7 201925
8 202422
9 201119
10 202119
11 202018
12 200712
13 20249
14 20179
15 20127
16 20156
17 20206
18
Key technologies of vehicle robot driver
20055
19 20244
20 20244

About Xiaobing Chen

Xiaobing Chen is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Materials Chemistry, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 27 papers that have together received 670 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (3 papers), Gas Sensing Nanomaterials and Sensors (3 papers), Topic Modeling (3 papers), Transition Metal Oxide Nanomaterials (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Asphalt Pavement Performance Evaluation (2 papers), Natural Language Processing Techniques (2 papers) and Infrastructure Maintenance and Monitoring (2 papers). The work is most often cited by research in Artificial Intelligence (304 citations), Environmental Engineering (78 citations), Health, Toxicology and Mutagenesis (64 citations), Computer Vision and Pattern Recognition (87 citations) and Civil and Structural Engineering (77 citations). Xiaobing Chen has collaborated with scholars based in China, United States and Saudi Arabia. Frequent co-authors include Wenfeng Zheng, Lirong Yin, Zhiyang Ma, Shan Liu, Bo Yang, Jiawei Tian, Lihong Song, Yan Liu, Xinxing Zhou and Xiaorui Zhang. Their work appears in journals such as Computer Modeling in Engineering & Sciences, Journal of Materials in Civil Engineering, International Journal of Social Psychiatry, Journal of Material Science and Technology and Frontiers in Plant 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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