Yu Ding
Impact in
-
- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
- Automotive Engineering top 5%
- Advanced Battery Technologies Research
Papers in
-
- Machine Fault Diagnosis Techniques 14
- Fault Detection and Control Systems 14
- Co-authors
- Chen Lü (21 shared papers)Jian Ma (13 shared papers)Liang Ma (8 shared papers)Laifa Tao (14 shared papers)Chao Wang (5 shared papers)Yujie Cheng (7 shared papers)Mingliang Suo (6 shared papers)Lei Wang (3 shared papers)
- Journals
- IEEE Access (3 papers)Expert Systems with Applications (3 papers)Engineering Applications of Artificial Intelligence (2 papers)Molecular Informatics (2 papers)Advanced Engineering Informatics (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yu Ding
59 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 100
- Control and Systems Engineering 380
- Automotive Engineering 186
- Safety, Risk, Reliability and Quality 82
- Industrial and Manufacturing Engineering 72
- Artificial Intelligence 207
Countries citing papers authored by Yu Ding
This map shows the geographic impact of Yu 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 Yu Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Ding more than expected).
Fields of papers citing papers by Yu Ding
This network shows the impact of papers produced by Yu 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 Yu Ding. The network helps show where Yu Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu Ding, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 135 | |
| 2 | 2019 | 87 | |
| 3 | 2020 | 73 | |
| 4 | 2021 | 67 | |
| 5 | 2015 | 55 | |
| 6 | 2020 | 51 | |
| 7 | 2022 | 48 | |
| 8 | 2023 | 48 | |
| 9 | 2020 | 39 | |
| 10 | 2022 | 36 | |
| 11 | 2023 | 31 | |
| 12 | 2017 | 26 | |
| 13 | 2010 | 26 | |
| 14 | 2020 | 25 | |
| 15 | 2020 | 24 | |
| 16 | 2020 | 23 | |
| 17 | 2023 | 23 | |
| 18 | 2019 | 22 | |
| 19 | 2022 | 20 | |
| 20 | 2021 | 19 |
About Yu Ding
Yu Ding is a scholar working on Control and Systems Engineering, Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition and Safety, Risk, Reliability and Quality, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (14 papers), Fault Detection and Control Systems (14 papers), Advanced Battery Technologies Research (7 papers), Reliability and Maintenance Optimization (7 papers), Network Security and Intrusion Detection (5 papers), Advancements in Battery Materials (4 papers), Advanced Malware Detection Techniques (4 papers) and Complex Network Analysis Techniques (4 papers). The work is most often cited by research in Control and Systems Engineering (380 citations), Automotive Engineering (186 citations), Safety, Risk, Reliability and Quality (82 citations), Industrial and Manufacturing Engineering (72 citations) and Artificial Intelligence (207 citations). Yu Ding has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Chen Lü, Jian Ma, Liang Ma, Laifa Tao, Chao Wang, Yujie Cheng, Mingliang Suo, Lei Wang, Xinwei Wang and Xiaohua Gao. Their work appears in journals such as IEEE Access, Expert Systems with Applications, Engineering Applications of Artificial Intelligence, Molecular Informatics and Advanced Engineering 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.