Peng Ding

2.9k citations

108 papers · 2.2k · 3 hit papers · h-index 25

Impact in

Control and Systems Engineering top 1%
- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
Medical Laboratory Technology top 2%

Papers in

Control and Systems Engineering 47
- Machine Fault Diagnosis Techniques 38
- Fault Detection and Control Systems 19
Mechanical Engineering 30
- Gear and Bearing Dynamics Analysis 12
- Non-Destructive Testing Techniques 9

Co-authors: Minping Jia (26 shared papers)Yifei Ding (14 shared papers)Xiaoli Zhao (17 shared papers)Yudong Cao (10 shared papers)Jichao Zhuang (8 shared papers)Zheng Liu (4 shared papers)Jianyong Yao (5 shared papers)Wenxiang Deng (3 shared papers)
Journals: Reliability Engineering & System Safety (5 papers)IEEE Transactions on Instrumentation and Measurement (4 papers)Structural Health Monitoring (3 papers)IEEE Transactions on Industrial Informatics (3 papers)Measurement (3 papers)
Partner nations: China United States Canada

In The Last Decade

Peng Ding

101 papers receiving 2.2k citations

Peng Ding's Hit Papers

align trajectories log scale

Intelligent Fault Diagnosis of Gearbox Under Variable Working Conditions With Adaptive Intraclass and Interclass Convolutional Neural Network 2022 · 176 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2022 IEEE Transactions on Neural Networks and Learning Systems
2021 Reliability Engineering & System Safety
2021 Measurement

Peers

Countries citing papers authored by Peng Ding

Since Specialization

Citations

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

Fields of papers citing papers by Peng Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Self-supervised pretraining via contrast learning for intelligent incipient fault detection of bearings Reliability Engineering & System Safety ·Yifei Ding, Jichao Zhuang, Peng Ding, Minping Jia Hit paper breakdown →	2021	190
2	Intelligent Fault Diagnosis of Gearbox Under Variable Working Conditions With Adaptive Intraclass and Interclass Convolutional Neural Network IEEE Transactions on Neural Networks and Learning Systems ·Xiaoli Zhao, Jianyong Yao, Wenxiang Deng, Peng Ding, Yifei Ding, Minping Jia, Zheng Liu Hit paper breakdown →	2022	176
3	Transfer learning for remaining useful life prediction of multi-conditions bearings based on bidirectional-GRU network Measurement ·Yudong Cao, Minping Jia, Peng Ding, Yifei Ding Hit paper breakdown →	2021	162
4	A light and faster regional convolutional neural network for object detection in optical remote sensing images ISPRS Journal of Photogrammetry and Remote Sensing ·Peng Ding, Ye Zhang, Weijian Deng, Ping Jia, Arjan Kuijper	2018	155
5	Multiscale Deep Graph Convolutional Networks for Intelligent Fault Diagnosis of Rotor-Bearing System Under Fluctuating Working Conditions IEEE Transactions on Industrial Informatics ·Xiaoli Zhao, Jianyong Yao, Wenxiang Deng, Peng Ding, Jichao Zhuang, Zheng Liu	2022	89
6	Transfer Learning for Remaining Useful Life Prediction Across Operating Conditions Based on Multisource Domain Adaptation IEEE/ASME Transactions on Mechatronics ·Yifei Ding, Peng Ding, Xiaoli Zhao, Yudong Cao, Minping Jia	2022	88
7	Intelligent Fault Diagnosis of Multichannel Motor–Rotor System Based on Multimanifold Deep Extreme Learning Machine IEEE/ASME Transactions on Mechatronics ·Xiaoli Zhao, Minping Jia, Peng Ding, Chen Yang, Daoming She, Zheng Liu	2020	72
8	Domain generalization via adversarial out-domain augmentation for remaining useful life prediction of bearings under unseen conditions Knowledge-Based Systems ·Yifei Ding, Minping Jia, Yudong Cao, Peng Ding, Xiaoli Zhao, Chi-Guhn Lee	2022	71
9	Meta deep learning based rotating machinery health prognostics toward few-shot prognostics Applied Soft Computing ·Peng Ding, Minping Jia, Xiaoli Zhao	2021	68
10	Temporal convolution-based transferable cross-domain adaptation approach for remaining useful life estimation under variable failure behaviors Reliability Engineering & System Safety ·Jichao Zhuang, Minping Jia, Yifei Ding, Peng Ding	2021	66
11	Incremental Learning for Remaining Useful Life Prediction via Temporal Cascade Broad Learning System With Newly Acquired Data IEEE Transactions on Industrial Informatics ·Yudong Cao, Minping Jia, Peng Ding, Xiaoli Zhao, Yifei Ding	2022	56
12	A novel transformer-based few-shot learning method for intelligent fault diagnosis with noisy labels under varying working conditions Reliability Engineering & System Safety ·Haoyu Wang, Chuanjiang Li, Peng Ding, Shaobo Li, Tandong Li, Chenyu Liu, Xiangjie Zhang, Zejian Hong	2024	54
13	Deep learning-based evaluation of the relationship between mandibular third molar and mandibular canal on CBCT Clinical Oral Investigations ·Mu-Qing Liu, Zineng Xu, Weiyu Mao, Yuan Li, Xiaohan Zhang, Hailong Bai, Peng Ding, Kai‐Yuan Fu	2021	49
14	A Novel Remaining Useful Life Prediction Method of Rolling Bearings Based on Deep Transfer Auto-Encoder IEEE Transactions on Instrumentation and Measurement ·Yifei Ding, Peng Ding, Minping Jia	2021	42
15	Stationary subspaces-vector autoregressive with exogenous terms methodology for degradation trend estimation of rolling and slewing bearings Mechanical Systems and Signal Processing ·Peng Ding, Minping Jia, Xiaoan Yan	2020	38
16	Research progress in machining technology of aerospace thin-walled components Journal of Manufacturing Processes ·Zhongqun Li, Zhaopeng Zeng, Yang Yu, Zhinan Ouyang, Peng Ding, Jiancong Sun, Sijia Zhu	2024	37
17	A dynamic structure-adaptive symbolic approach for slewing bearings’ life prediction under variable working conditions Structural Health Monitoring ·Peng Ding, Minping Jia, Hua Wang	2020	36
18	Complex domain extension network with multi-channels information fusion for remaining useful life prediction of rotating machinery Mechanical Systems and Signal Processing ·Yudong Cao, Minping Jia, Yifei Ding, Xiaoli Zhao, Peng Ding, Liudong Gu	2023	36
19	Mechatronics Equipment Performance Degradation Assessment Using Limited and Unlabeled Data IEEE Transactions on Industrial Informatics ·Peng Ding, Minping Jia	2021	33
20	Deep imbalanced regression using cost-sensitive learning and deep feature transfer for bearing remaining useful life estimation Applied Soft Computing ·Yifei Ding, Minping Jia, Jichao Zhuang, Peng Ding	2022	33

About Peng Ding

Peng Ding is a scholar working on Control and Systems Engineering, Mechanical Engineering, Computer Vision and Pattern Recognition, Mechanics of Materials and Artificial Intelligence, having authored 108 papers that have together received 2.2k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (38 papers), Fault Detection and Control Systems (19 papers), Gear and Bearing Dynamics Analysis (12 papers), Advanced Neural Network Applications (11 papers), Engineering Diagnostics and Reliability (10 papers), Non-Destructive Testing Techniques (9 papers), Reliability and Maintenance Optimization (8 papers) and Advanced Image and Video Retrieval Techniques (7 papers). The work is most often cited by research in Control and Systems Engineering (1.2k citations), Medical Laboratory Technology (44 citations), Mechanical Engineering (726 citations), Safety, Risk, Reliability and Quality (175 citations) and Radiological and Ultrasound Technology (73 citations). Peng Ding has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Minping Jia, Yifei Ding, Xiaoli Zhao, Yudong Cao, Jichao Zhuang, Zheng Liu, Jianyong Yao, Wenxiang Deng, Ping Jia and Weijian Deng. Their work appears in journals such as Reliability Engineering & System Safety, IEEE Transactions on Instrumentation and Measurement, Structural Health Monitoring, IEEE Transactions on Industrial Informatics and Measurement.

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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Peng Ding's Hit Papers

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About Peng Ding

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