Hengyi Li

905 total citations · 1 hit paper
47 papers, 542 citations indexed

About

Hengyi Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Hengyi Li has authored 47 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 7 papers in Control and Systems Engineering. Recurrent topics in Hengyi Li's work include Advanced Neural Network Applications (14 papers), Handwritten Text Recognition Techniques (7 papers) and Advanced Memory and Neural Computing (5 papers). Hengyi Li is often cited by papers focused on Advanced Neural Network Applications (14 papers), Handwritten Text Recognition Techniques (7 papers) and Advanced Memory and Neural Computing (5 papers). Hengyi Li collaborates with scholars based in Japan, China and United States. Hengyi Li's co-authors include Lin Meng, Xuebin Yue, Zhuo Li, Zhichen Wang, Wenwen Wang, Hiroyuki Tomiyama, Masao Shimizu, Sadao Kawamura, Wang Xiangheng and Zhilei Chai and has published in prestigious journals such as IEEE Access, Sensors and Neurocomputing.

In The Last Decade

Hengyi Li

39 papers receiving 528 citations

Hit Papers

Model Compression for Deep Neural Networks: A Survey 2023 2026 2024 2025 2023 40 80 120
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.

  1. Model Compression for Deep Neural Networks: A Survey
    2023 126 citations Zhuo Li, Hengyi Li et al. Computers profile →

Peers

Hengyi Li
Xuebin Yue Japan
Asaad Algarni Saudi Arabia
Zhiqiang Hao China
Deepak Kumar Dewangan India
Francesco Salvetti Italy
Abhishek Gupta Canada
Muhammad Yahya Malaysia
Yonghui Zhang China
Xuebin Yue Japan
Hengyi Li
Citations per year, relative to Hengyi Li Hengyi Li (= 1×) peers Xuebin Yue

Countries citing papers authored by Hengyi Li

Since Specialization
Citations

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

Fields of papers citing papers by Hengyi Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hengyi Li

This figure shows the co-authorship network connecting the top 25 collaborators of Hengyi Li. A scholar is included among the top collaborators of Hengyi Li 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 Hengyi Li. Hengyi Li 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.
Lin, Chi, et al.. (2025). Wireless Charging for Uncertain Location Nodes. IEEE Transactions on Mobile Computing. 24(8). 7074–7091.
2.
Li, Zhuo, et al.. (2025). Dataset Purification-Driven Lightweight Deep Learning Model Construction for Empty-Dish Recycling Robot. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(5). 3325–3340.
3.
4.
5.
Li, Hengyi, et al.. (2024). A generic deep learning architecture optimization method for edge device based on start-up latency reduction. Journal of Real-Time Image Processing. 21(4). 2 indexed citations
6.
Wang, Hui, et al.. (2024). Enhancing Human Activity Recognition in Wrist-Worn Sensor Data Through Compensation Strategies for Sensor Displacement. IEEE Access. 12. 95058–95070. 3 indexed citations
7.
Li, Hengyi, et al.. (2024). Chemical simulation teaching system based on virtual reality and gesture interaction. Virtual Reality & Intelligent Hardware. 6(2). 148–168. 1 indexed citations
8.
Li, Zhuo, et al.. (2023). IoT-based automatic deep learning model generation and the application on Empty-dish Recycling Robots. Internet of Things. 25. 101047–101047. 12 indexed citations
9.
Li, Hengyi, et al.. (2023). Deep Learning Architecture Improvement Based on Dynamic Pruning and Layer Fusion. Electronics. 12(5). 1208–1208. 6 indexed citations
10.
Li, Zhuo, Hengyi Li, & Lin Meng. (2023). Model Compression for Deep Neural Networks: A Survey. Computers. 12(3). 60–60. 126 indexed citations breakdown →
11.
Zhao, Qiangsong, et al.. (2023). A Fractional-Order Multi-Rate Repetitive Controller for Single-Phase Grid-Connected Inverters. Electronics. 12(4). 1021–1021. 3 indexed citations
12.
Wang, Zhida, et al.. (2023). LW-ViT: The Lightweight Vision Transformer Model Applied in Offline Handwritten Chinese Character Recognition. Electronics. 12(7). 1693–1693. 4 indexed citations
13.
Xu, Xinlong, et al.. (2023). Target Localization and Grasping of NAO Robot Based on YOLOv8 Network and Monocular Ranging. Electronics. 12(18). 3981–3981. 8 indexed citations
14.
Li, Hengyi, et al.. (2023). A Transformer-Based Neural Network for Gait Prediction in Lower Limb Exoskeleton Robots Using Plantar Force. Sensors. 23(14). 6547–6547. 11 indexed citations
15.
Li, Hengyi & Lin Meng. (2023). Hardware-aware approach to deep neural network optimization. Neurocomputing. 559. 126808–126808. 9 indexed citations
16.
Yue, Xuebin, Hengyi Li, & Lin Meng. (2022). AI-based Prevention Embedded System Against COVID-19 in Daily Life. Procedia Computer Science. 202. 152–157. 4 indexed citations
17.
Li, Hengyi, Zhichen Wang, Xuebin Yue, et al.. (2022). An architecture-level analysis on deep learning models for low-impact computations. Artificial Intelligence Review. 56(3). 1971–2010. 33 indexed citations
18.
Yue, Xuebin, Hengyi Li, Masao Shimizu, Sadao Kawamura, & Lin Meng. (2022). Deep Learning-based Real-time Object Detection for Empty-Dish Recycling Robot. 2022 13th Asian Control Conference (ASCC). 2177–2182. 14 indexed citations
19.
20.
Li, Hengyi, Zhichen Wang, Xuebin Yue, et al.. (2021). A Comprehensive Analysis of Low-Impact Computations in Deep Learning Workloads. 385–390. 14 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Xuebin Yue Breakdown of academic impact, for papers by Asaad Algarni Breakdown of academic impact, for papers by Zhiqiang Hao Breakdown of academic impact, for papers by Deepak Kumar Dewangan Breakdown of academic impact, for papers by Francesco Salvetti Breakdown of academic impact, for papers by Abhishek Gupta Breakdown of academic impact, for papers by Muhammad Yahya Breakdown of academic impact, for papers by Yonghui Zhang
Rankless by CCL
2026