Xiaohan Wang

813 citations
41 papers · 563 · h-index 15

Impact in

Papers in

Xiaohan Wang

37 papers receiving 555 citations

Peers

Xiaohan Wang
Comparison fields: 5 of 73
  • Industrial and Manufacturing Engineering 246
  • Computer Networks and Communications 145
  • Process Chemistry and Technology 16
  • Control and Systems Engineering 69
  • Information Systems 68
Replace Mikhail A. Bragin with:
Mikhail A. Bragin United States
Petr Novák Czechia
Wenbin Dai China
Václav Jirkovský Czechia
David Hästbacka Finland
Matthias Eckhart Austria
Yueyang Wang China
Xiong Wang China
Alessio Bucaioni Sweden
Dilip Kotak Canada
Xiaohan Wang relative to Mikhail A. Bragin United States Mikhail A. Bragin's profile →
Citations per field
00.5×5.3×
Mikhail A. Bragin · 1×
Citations per year

Countries citing papers authored by Xiaohan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202283
2 202268
3 202345
4 202235
5 202435
6 202327
7 202325
8 202322
9 202221
10 201420
11 201520
12 202319
13 200917
14 202316
15 202116
16 20229
17 20249
18 20248
19 20238
20 20108

About Xiaohan Wang

Xiaohan Wang is a scholar working on Industrial and Manufacturing Engineering, Computer Networks and Communications, Artificial Intelligence, Electrical and Electronic Engineering and Management Science and Operations Research, having authored 41 papers that have together received 563 indexed citations. Recurring topics across this work include Scheduling and Optimization Algorithms (12 papers), Digital Transformation in Industry (10 papers), Simulation Techniques and Applications (6 papers), Industrial Vision Systems and Defect Detection (5 papers), Advanced Manufacturing and Logistics Optimization (5 papers), Assembly Line Balancing Optimization (4 papers), Systems Engineering Methodologies and Applications (3 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (246 citations), Computer Networks and Communications (145 citations), Process Chemistry and Technology (16 citations), Control and Systems Engineering (69 citations) and Information Systems (68 citations). Xiaohan Wang has collaborated with scholars based in China, Canada and Sweden. Frequent co-authors include Zhang Li, Chun Zhao, Yongkui Liu, Kunyu Wang, Yuanjun Laili, Ting-Yu Lin, Zhen Chen, Lei Ren, Zhe Chen and Yuan Yang. Their work appears in journals such as Advanced Materials, Journal of Industrial Information Integration, Journal of Manufacturing Systems, Robotics and Computer-Integrated Manufacturing and International Journal of Production Research.

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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