Xuewen Ding

696 citations
13 papers · 590 · h-index 6

Impact in

Papers in

Xuewen Ding

12 papers receiving 547 citations

Peers

Xuewen Ding
Comparison fields: 5 of 61
  • Industrial and Manufacturing Engineering 74
  • Electrical and Electronic Engineering 462
  • Control and Systems Engineering 171
  • Materials Chemistry 274
  • Safety, Risk, Reliability and Quality 30
Replace Chiung-Chou Liao with:
Chiung-Chou Liao Taiwan
N. Devarajan India
Hai-Long Nguyen Singapore
Hao Pan China
N. Medrano Spain
Emilio Parrado-Hernández Spain
Kaijun Zhou China
Tuba Ayhan Türkiye
A. Balaji Ganesh India
Ashish Ranjan India
Xuewen Ding relative to Chiung-Chou Liao Taiwan Chiung-Chou Liao's profile →
Citations per field
00.5×
Chiung-Chou Liao · 1×
Citations per year

Countries citing papers authored by Xuewen Ding

Since Specialization
Citations

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

Fields of papers citing papers by Xuewen Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Xuewen Ding, 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 Xuewen Ding Line = papers co-authored together Xuewen Ding links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 1996285
2 1996222
3 202135
4
ANN based transformer fault diagnosis using gas-in-oil analysis
199514
5 201814
6 20205
7 20244
8 20204
9 20203
10 20212
11 20251
12 20251
13 20200

About Xuewen Ding

Xuewen Ding is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Experimental and Cognitive Psychology, Materials Chemistry and Control and Systems Engineering, having authored 13 papers that have together received 590 indexed citations. Recurring topics across this work include Power Transformer Diagnostics and Insulation (3 papers), Emotion and Mood Recognition (3 papers), EEG and Brain-Computer Interfaces (3 papers), Petroleum Processing and Analysis (2 papers), High voltage insulation and dielectric phenomena (2 papers), Gaze Tracking and Assistive Technology (1 paper), Hydraulic flow and structures (1 paper) and Particle Dynamics in Fluid Flows (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (74 citations), Electrical and Electronic Engineering (462 citations), Control and Systems Engineering (171 citations), Materials Chemistry (274 citations) and Safety, Risk, Reliability and Quality (30 citations). Xuewen Ding has collaborated with scholars based in China and United States. Frequent co-authors include P.J. Griffin, Yuxin Zhang, Yang Liu, Zhentao Liu, Yong He, Min Wu, Erlin Yao, Sibo Wang, Sibo Wang and Jin Wang. Their work appears in journals such as IEEE Transactions on Cognitive and Developmental Systems, CrystEngComm, Energies, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Power Delivery.

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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