Qiang He

804 total citations
39 papers, 419 citations indexed

About

Qiang He is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Qiang He has authored 39 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 4 papers in Computer Networks and Communications. Recurrent topics in Qiang He's work include Advanced Neural Network Applications (9 papers), Adversarial Robustness in Machine Learning (4 papers) and Reinforcement Learning in Robotics (4 papers). Qiang He is often cited by papers focused on Advanced Neural Network Applications (9 papers), Adversarial Robustness in Machine Learning (4 papers) and Reinforcement Learning in Robotics (4 papers). Qiang He collaborates with scholars based in China, United States and Macao. Qiang He's co-authors include Junfen Chen, Junhai Zhai, Sufang Zhang, Youwei Zhang, Xizhao Wang, Patrick P. K. Chan, Xinwen Hou, Witold Pedrycz, Sam Kwong and K.F. Man and has published in prestigious journals such as Scientific Reports, Sensors and Pattern Recognition.

In The Last Decade

Qiang He

37 papers receiving 404 citations

Peers

Qiang He
Muhammad Kashif Hanif Pakistan
Georgii Valuev Russia
Maria Valueva Russia
Roobaea Alroobaea Saudi Arabia
Poonam Sharma India
Durgesh Srivastava India
Daw-Ran Liou Taiwan
Bryar A. Hassan Iraq
Grega Vrbančič Slovenia
Muhammad Kashif Hanif Pakistan
Qiang He
Citations per year, relative to Qiang He Qiang He (= 1×) peers Muhammad Kashif Hanif

Countries citing papers authored by Qiang He

Since Specialization
Citations

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

Fields of papers citing papers by Qiang He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiang He

This figure shows the co-authorship network connecting the top 25 collaborators of Qiang He. A scholar is included among the top collaborators of Qiang 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 Qiang He. Qiang He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wu, Xiaopei, Wei Yin, Yanqun Li, et al.. (2025). Assessment of quality in volatile oil from three basic sources of Xinyi from Hubei by anatomy, GC-MS, and chemometric methods. Scientific Reports. 15(1). 6857–6857. 1 indexed citations
2.
3.
Tan, Shujun, et al.. (2025). Automatic detection and prediction of epileptic EEG signals based on nonlinear dynamics and deep learning: a review. Frontiers in Neuroscience. 19. 1630664–1630664. 1 indexed citations
4.
Wang, Dong, et al.. (2024). Leveraging logit uncertainty for better knowledge distillation. Scientific Reports. 14(1). 31249–31249.
5.
He, Qiang, et al.. (2024). Low-Cost Data Offloading Strategy With Deep Reinforcement Learning for Internet of Things. IEEE Transactions on Services Computing. 18(3). 1543–1556. 18 indexed citations
6.
He, Jiaqi, Qiang He, Z. Xu, et al.. (2024). Key technologies and upgrade strategies for eVTOL aircraft energy storage systems. Journal of Energy Storage. 103. 114402–114402. 8 indexed citations
7.
He, Qiang, et al.. (2024). Learning to detect extreme objects for remote sensing images. International Journal of Machine Learning and Cybernetics. 15(7). 2719–2736. 1 indexed citations
8.
He, Qiang, et al.. (2023). HL-nets: Physics-informed neural networks for hydrodynamic lubrication with cavitation. Tribology International. 188. 108871–108871. 13 indexed citations
9.
10.
He, Qiang. (2023). Human-computer interaction based on background knowledge and emotion certainty. PeerJ Computer Science. 9. e1418–e1418. 1 indexed citations
11.
Zheng, Quan-feng, et al.. (2023). Real-time Lightweight Target Detection Network under Autonomous Driving. Journal of Physics Conference Series. 2644(1). 12003–12003. 2 indexed citations
12.
He, Qiang, et al.. (2023). Research on uncertain multiple attribute decision making based on improved possibility degree relation model and its application. Engineering Applications of Artificial Intelligence. 123. 106349–106349. 4 indexed citations
13.
Liu, Yongxin, Qiang He, Junhui Wang, et al.. (2022). Convolutional Neural Network Based Unmanned Ground Vehicle Control via Deep Reinforcement Learning. 6. 1–6. 1 indexed citations
14.
Wang, Xingwei, et al.. (2022). IA-DD: An SDN Topological Poisoning Attack Defense Scheme Based on Blockchain. 814–820. 1 indexed citations
15.
Gong, Chen, et al.. (2021). Wide-Sense Stationary Policy Optimization with Bellman Residual on Video Games. 70. 1–6. 3 indexed citations
16.
Wang, Linjing, Chao Zheng, Wentao Chen, et al.. (2020). Multi-path synergic fusion deep neural network framework for breast mass classification using digital breast tomosynthesis. Physics in Medicine and Biology. 65(23). 235045–235045. 7 indexed citations
17.
Chen, Jun, et al.. (2018). A Shifting Method for Intelligent Operational Mode of UAVs. 7. 526–531. 3 indexed citations
18.
He, Qiang, et al.. (2017). Assessing the threat status of China’s bryophytes. Biodiversity Science. 25(7). 774–780. 3 indexed citations
19.
Wang, Xizhao, Witold Pedrycz, Patrick P. K. Chan, & Qiang He. (2014). Machine Learning and Cybernetics. Communications in computer and information science. 37 indexed citations
20.
Kwong, Sam & Qiang He. (2002). Minimum classification error rate method using genetic algorithms. 3. 1692–1695. 2 indexed citations

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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