David He

7.0k total citations · 2 hit papers
162 papers, 5.5k citations indexed

About

David He is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, David He has authored 162 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Control and Systems Engineering, 85 papers in Mechanical Engineering and 32 papers in Mechanics of Materials. Recurrent topics in David He's work include Machine Fault Diagnosis Techniques (85 papers), Gear and Bearing Dynamics Analysis (50 papers) and Fault Detection and Control Systems (40 papers). David He is often cited by papers focused on Machine Fault Diagnosis Techniques (85 papers), Gear and Bearing Dynamics Analysis (50 papers) and Fault Detection and Control Systems (40 papers). David He collaborates with scholars based in United States, China and Germany. David He's co-authors include Miao He, Ming Dong, Eric Bechhoefer, Yongzhi Qu, Xueyi Li, Jialin Li, Ruoyu Li, Junda Zhu, Jae Yoon and Brandon Van Hecke and has published in prestigious journals such as JAMA, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

David He

153 papers receiving 5.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep Learning Based Approach for Bearing Fault Diagnosis

2017 373 citations Miao He, David He profile →
Using Deep Learning-Based Approach to Predict Remaining Useful Life of Rotating Components

2017 370 citations David He et al. profile →

Peers

Countries citing papers authored by David He

Since Specialization

Citations

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

Fields of papers citing papers by David He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David He

This figure shows the co-authorship network connecting the top 25 collaborators of David He. A scholar is included among the top collaborators of David He based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David He. David He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	How Numerical Precision Affects Arithmetical Reasoning Capabilities of LLMs 2025 ·(unknown), Kai‐Cheng Yang, (unknown), (unknown), Shengjie Luo, Jiacheng Sun, David He, Zhenguo Li, Liwei Wang	0
2	Overview and trend analysis of global hot spring research based on bibliometrics and knowledge graph visualization 2024 ·Complementary Therapies in Medicine ·(unknown), (unknown), (unknown), Yao Zhou, Lei Xi, (unknown), (unknown), David He, (unknown), Weimo Zhu	1
3	A Natural Language Processing Based Planetary Gearbox Fault Diagnosis with Acoustic Emission Signals 2023 ·David He, (unknown), Jae Yoon	3
4	Few-shot Learning for Plastic Bearing Fault Diagnosis – An Integrated Image Processing and NLP Approach 2023 ·Annual Conference of the PHM Society ·David He, (unknown)	2
5	A Bayesian Optimization AdaBN-DCNN Method With Self-Optimized Structure and Hyperparameters for Domain Adaptation Remaining Useful Life Prediction 2020 ·IEEE Access ·Jialin Li, David He	37
6	Gear pitting fault diagnosis with mixed operating conditions based on adaptive 1D separable convolution with residual connection 2020 ·Mechanical Systems and Signal Processing ·Xueyi Li, Jialin Li, Chengying Zhao, Yongzhi Qu, David He	88
7	Time-dependent nonlinear dynamic model for linear guideway with crowning 2020 ·Tribology International ·Changyou Li, Mengtao Xu, (unknown), Hongzhuang Zhang, Zhendong Liu, David He, Yimin Zhang	33
8	Domain Adaptation Remaining Useful Life Prediction Method Based on AdaBN-DCNN 2019 ·Jialin Li, Xueyi Li, David He	15
9	Performance and load testing: Tools and challenges 2019 ·(unknown), (unknown), David He	6
10	A domain adaptation model for early gear pitting fault diagnosis based on deep transfer learning network 2019 ·Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability ·Jialin Li, Xueyi Li, David He, Yongzhi Qu	27
11	Gear pitting fault diagnosis using disentangled features from unsupervised deep learning 2019 ·Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability ·Yongzhi Qu, Yue Zhang, Miao He, David He, Chen Jiao, Zude Zhou	10
12	A Directed Acyclic Graph Network Combined With CNN and LSTM for Remaining Useful Life Prediction 2019 ·IEEE Access ·Jialin Li, Xueyi Li, David He	187
13	Gear Pitting Fault Diagnosis Using Integrated CNN and GRU Network with Both Vibration and Acoustic Emission Signals 2019 ·Applied Sciences ·Xueyi Li, Jialin Li, Yongzhi Qu, David He	84
14	A Novel Method for Early Gear Pitting Fault Diagnosis Using Stacked SAE and GBRBM 2019 ·Sensors ·Jialin Li, Xueyi Li, David He, Yongzhi Qu	34
15	Detection of Pitting in Gears Using a Deep Sparse Autoencoder 2017 ·Applied Sciences ·Yongzhi Qu, Miao He, (unknown), David He	51
16	A PHM Approach to Additive Manufacturing Equipment Health Monitoring, Fault Diagnosis, and Quality Control 2014 ·Annual Conference of the PHM Society ·Jae Yoon, David He, Brandon Van Hecke	33
17	A New Acoustic Emission Sensor Based Gear Fault Detection Approach 2013 ·SHILAP Revista de lepidopterología ·Junda Zhu, Eric Bechhoefer, David He, Yongzhi Qu	28
18	Gear Fault Location Detection for Split Torque Gearbox using AE Sensors 2010 ·Annual Conference of the PHM Society ·David He, (unknown), Ruoyu Li, Serap Ulusam Seçkiner, Eric Bechhoefer	7
19	Joint statistical design of double sampling X and s charts 2006 ·Quality Engineering ·David He, (unknown)	1
20	Solving the n -job 3-stage flexible flowshop scheduling problem using an agent-based approach 2003 ·International Journal of Production Research ·(unknown), David He	29

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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