Xiaohui Ren

439 citations
19 papers · 329 · h-index 7

Impact in

Papers in

Xiaohui Ren

19 papers receiving 322 citations

Peers

Xiaohui Ren
Comparison fields: 5 of 59
  • Environmental Chemistry 108
  • Electrochemistry 60
  • Fluid Flow and Transfer Processes 57
  • Water Science and Technology 70
  • Automotive Engineering 35
Replace Ebrahim Soroush with:
Ebrahim Soroush Iran
Agustín Ramón Uribe Ramírez Mexico
Hongda Zhang China
Sourav Sanyal India
Yufeng Cui China
James O. Maloney United States
Hitoshi Kosuge Japan
He Liu China
Jianping Li United States
Xiaohui Ren relative to Ebrahim Soroush Iran Ebrahim Soroush's profile →
Citations per field
00.5×8.1×
Ebrahim Soroush · 1×
Citations per year

Countries citing papers authored by Xiaohui Ren

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohui Ren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2014113
2 201978
3 201243
4 201221
5 202419
6 202412
7 201912
8 20216
9 20235
10 20244
11 20244
12 20212
13 20242
14 20242
15 20242
16
Research on Transport System Risk Factors of Open-pit Mine Based on W-R-SHEL
20111
17 20241
18 20231
19 20201

About Xiaohui Ren

Xiaohui Ren is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Vision and Pattern Recognition, Environmental Chemistry and Molecular Biology, having authored 19 papers that have together received 329 indexed citations. Recurring topics across this work include Robotic Mechanisms and Dynamics (4 papers), Neural Networks and Applications (4 papers), Robot Manipulation and Learning (4 papers), Advanced Algorithms and Applications (3 papers), Arsenic contamination and mitigation (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), Robotic Path Planning Algorithms (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Environmental Chemistry (108 citations), Electrochemistry (60 citations), Fluid Flow and Transfer Processes (57 citations), Water Science and Technology (70 citations) and Automotive Engineering (35 citations). Xiaohui Ren has collaborated with scholars based in China and Hong Kong. Frequent co-authors include Hanjin Luo, Bingjie Hu, Zhi Dang, Chen Yang, Zilong Zhang, Sijie Luo, Fanhua Ma, Roopesh Kumar Mehra, Yiping Wang and Yuze Liu. Their work appears in journals such as Neurocomputing, Robotica, Microchimica Acta, Applied Clay Science and IEEE Transactions on Industrial Informatics.

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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