Xiaobin Li

648 citations
43 papers · 414 · h-index 12

Impact in

Papers in

Xiaobin Li

35 papers receiving 388 citations

Peers

Xiaobin Li
Comparison fields: 5 of 67
  • Industrial and Manufacturing Engineering 153
  • Management of Technology and Innovation 36
  • Metals and Alloys 8
  • Automotive Engineering 37
  • Control and Systems Engineering 62
Replace Xiaoliang Jia with:
Xiaoliang Jia China
Ziqi Huang China
Abid Ali Khan Pakistan
Matthias Brossog Germany
Franz-Josef Kahlen Portugal
Lorenzo Damiani Italy
Diwakar Bista Nepal
Xiaobin Li relative to Xiaoliang Jia China Xiaoliang Jia's profile →
Citations per field
00.5×1.5×2.2×
Xiaoliang Jia · 1×
Citations per year

Countries citing papers authored by Xiaobin Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202356
2 202238
3 201038
4 201834
5 202131
6 202327
7 202025
8 201824
9 202114
10 202413
11 202013
12 202412
13 202411
14 202111
15 202410
16 20179
17 20257
18 20177
19 20225
20 20175

About Xiaobin Li

Xiaobin Li is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering, Artificial Intelligence, Computer Science Applications and Automotive Engineering, having authored 43 papers that have together received 414 indexed citations. Recurring topics across this work include Digital Transformation in Industry (15 papers), Manufacturing Process and Optimization (10 papers), Flexible and Reconfigurable Manufacturing Systems (6 papers), Industrial Vision Systems and Defect Detection (3 papers), Online Learning and Analytics (3 papers), Collaboration in agile enterprises (3 papers), Industrial Technology and Control Systems (3 papers) and Advanced Control Systems Optimization (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (153 citations), Management of Technology and Innovation (36 citations), Metals and Alloys (8 citations), Automotive Engineering (37 citations) and Control and Systems Engineering (62 citations). Xiaobin Li has collaborated with scholars based in China, Sweden and United States. Frequent co-authors include Chao Yin, Pei Jiang, Xi Vincent Wang, Huajun Cao, Jiajun Zheng, Jiansheng Qian, Leida Li, Peng Ren, David Z. Zhang and Jinfeng Li. Their work appears in journals such as Robotics and Computer-Integrated Manufacturing, Advances in Complex Systems, Expert Systems with Applications, Journal of Ambient Intelligence and Humanized Computing and Journal of Manufacturing Systems.

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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