Xiaohui Dong

423 citations
26 papers · 238 · 1 hit paper · h-index 8

Impact in

Papers in

Xiaohui Dong

22 papers receiving 233 citations

Xiaohui Dong's Hit Papers

A literature review of fault diagnosis based on ensemble learning 2023 · 89 citations
890+1+2Years since publication255075

Peers

Xiaohui Dong
Comparison fields: 5 of 64
  • Control and Systems Engineering 70
  • Computer Vision and Pattern Recognition 55
  • Management Science and Operations Research 30
  • Artificial Intelligence 64
  • Media Technology 13
Replace Liping Yan with:
Liping Yan China
Michael Giering United States
Yawei Sun China
Kuo-Hsien Hsia Taiwan
Yunlong Zhu China
Chenrui Wu China
Siya Yao China
Domenico Pascarella Italy
Shigeru Okuma Japan
Xiaohui Dong relative to Liping Yan China Liping Yan's profile →
Citations per field
00.5×
Liping Yan · 1×
Citations per year

Countries citing papers authored by Xiaohui Dong

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohui Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A literature review of fault diagnosis based on ensemble learning
Hit paper breakdown →
202389
2 202355
3 200628
4 20249
5 20258
6 20247
7 20227
8 20117
9 20244
10 20244
11 20233
12 20233
13 20232
14 20242
15 20102
16 20251
17 20241
18 20241
19 20231
20 20241

About Xiaohui Dong

Xiaohui Dong is a scholar working on Artificial Intelligence, Control and Systems Engineering, Information Systems, Computer Vision and Pattern Recognition and Signal Processing, having authored 26 papers that have together received 238 indexed citations. Recurring topics across this work include Fault Detection and Control Systems (8 papers), Topic Modeling (5 papers), Natural Language Processing Techniques (3 papers), Advanced Algorithms and Applications (3 papers), Neural Networks and Applications (3 papers), Olfactory and Sensory Function Studies (2 papers), Advanced Graph Neural Networks (2 papers) and Visual Attention and Saliency Detection (2 papers). The work is most often cited by research in Control and Systems Engineering (70 citations), Computer Vision and Pattern Recognition (55 citations), Management Science and Operations Research (30 citations), Artificial Intelligence (64 citations) and Media Technology (13 citations). Xiaohui Dong has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shoukun Xu, Dingwen Zhang, Yuzhu Tian, Yuehui Chen, Shiwei Gao, Xiaochao Dang, Zhongyu Ma, Ran Tian, Fenfang Li and Lei Li. Their work appears in journals such as Electronics, Measurement Science and Technology, Engineering Applications of Artificial Intelligence, Neural Processing Letters and Applied Sciences.

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.

Explore authors with similar magnitude of impact