Hongyang Li

2.9k total citations · 2 hit papers
39 papers, 1.0k citations indexed

About

Hongyang Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Hongyang Li has authored 39 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 8 papers in Automotive Engineering. Recurrent topics in Hongyang Li's work include Advanced Image and Video Retrieval Techniques (7 papers), Autonomous Vehicle Technology and Safety (6 papers) and Advanced Neural Network Applications (5 papers). Hongyang Li is often cited by papers focused on Advanced Image and Video Retrieval Techniques (7 papers), Autonomous Vehicle Technology and Safety (6 papers) and Advanced Neural Network Applications (5 papers). Hongyang Li collaborates with scholars based in China, United States and Hong Kong. Hongyang Li's co-authors include Li Chen, Xiaosong Jia, Penghao Wu, Chonghao Sima, Yu Qiao, Lewei Lu, Junchi Yan, Jifeng Dai, Andreas Geiger and Kashyap Chitta and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of The Electrochemical Society and Annals of Neurology.

In The Last Decade

Hongyang Li

32 papers receiving 1.0k 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.

Planning-oriented Autonomous Driving

2023 349 citations Yihan Hu, Li Chen et al. profile →
End-to-End Autonomous Driving: Challenges and Frontiers

2024 143 citations Li Chen, Penghao Wu et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers

Hongyang Li

CVPR

AE

AI

EEE

CSE

Hao Xiang United States

Andreas Møgelmose Denmark

Claudius Gläser Germany

Xinyu Huang United States

Julian F. P. Kooij Netherlands

Fabien Moutarde France

Yuning Chai United States

Ravi Kumar Satzoda United States

Hao Xiang United States

Hongyang Li

417 ×0.8

CVPR

339 ×0.9

AE

175 ×0.7

AI

181 ×1.8

EEE

178 ×1.9

CSE

Citations per year, relative to Hongyang Li Hongyang Li (= 1×) peers Hao Xiang

Countries citing papers authored by Hongyang Li

Since Specialization

Citations

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

Fields of papers citing papers by Hongyang Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongyang Li

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Li, Hongyang, et al.. (2025). ParMamba: A Parallel Architecture Using CNN and Mamba for Brain Tumor Classification. Computer Modeling in Engineering & Sciences. 142(3). 2527–2545.

2.

Sun, Han, et al.. (2024). Novel method of rapid and accurate tree trunk location in pear orchard combining stereo vision and semantic segmentation. Measurement. 242. 116127–116127. 1 indexed citations

3.

Duan, Yifan, Ran Liu, Xin Li, et al.. (2024). A novel anomaly detection and classification algorithm for application in tuyere images of blast furnace. Engineering Applications of Artificial Intelligence. 139. 109558–109558.

4.

Yan, Shilin, Renrui Zhang, Z. J. Guo, et al.. (2024). Referred by Multi-Modality: A Unified Temporal Transformer for Video Object Segmentation. Proceedings of the AAAI Conference on Artificial Intelligence. 38(6). 6449–6457. 9 indexed citations

5.

Li, Hongyang, Huijie Wang, Jia Zeng, et al.. (2024). 自动驾驶开源数据体系：现状与未来. Scientia Sinica Informationis.

6.

Qi, Hengnian, et al.. (2024). Hyperspectral Imaging Using a Convolutional Neural Network with Transformer for the Soluble Solid Content and pH Prediction of Cherry Tomatoes. Foods. 13(2). 251–251. 13 indexed citations

7.

Zhang, Yifei, et al.. (2024). FastMAC: Stochastic Spectral Sampling of Correspondence Graph. 17857–17867. 5 indexed citations

8.

Li, Zhiqi, Wenhai Wang, Hongyang Li, et al.. (2024). BEVFormer: Learning Bird’s-Eye-View Representation From LiDAR-Camera via Spatiotemporal Transformers. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(3). 2020–2036. 25 indexed citations

9.

Tong, Wenwen, Chonghao Sima, Tai Wang, et al.. (2023). Scene as Occupancy. The HKU Scholars Hub (University of Hong Kong). 8372–8381. 47 indexed citations

10.

Hu, Yihan, Li Chen, Keyu Li, et al.. (2023). Planning-oriented Autonomous Driving. 17853–17862. 349 indexed citations breakdown →

11.

Liu, Gang, et al.. (2023). Unified Transformer with Cross-Modal Mixture Experts for Remote-Sensing Visual Question Answering. Remote Sensing. 15(19). 4682–4682. 6 indexed citations

12.

Jia, Xiaosong, Penghao Wu, Li Chen, et al.. (2023). HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction via Scene Encoding. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(11). 13860–13875. 90 indexed citations

13.

Li, Yan, Naying He, Chencheng Zhang, et al.. (2022). Mapping Motor Pathways in Parkinson’s Disease Patients with Subthalamic Deep Brain Stimulator: A Diffusion MRI Tractography Study. Neurology and Therapy. 11(2). 659–677. 3 indexed citations

14.

Wang, Fengting, Yijie Lai, Yixin Pan, et al.. (2022). A systematic review of brain morphometry related to deep brain stimulation outcome in Parkinson’s disease. npj Parkinson s Disease. 8(1). 130–130. 6 indexed citations

15.

Liu, Hui, et al.. (2022). AN EMPIRICAL STUDY OF STUDENTS’ AIR CONDITIONING ENERGY USE BEHAVIOR IN UNIVERSITY DORMITORIES—A CASE OF NANJING, CHINA. Journal of Green Building. 17(1). 169–198. 6 indexed citations

16.

Li, Hongyang, Yijie Lai, Chencheng Zhang, et al.. (2021). Recharging Difficulty With Pulse Generator After Deep Brain Stimulation: A Case Series of Five Patients. Frontiers in Neuroscience. 15. 705483–705483.

17.

Hu, Ruimin, et al.. (2019). Semisupervised Discriminant Multimanifold Analysis for Action Recognition. IEEE Transactions on Neural Networks and Learning Systems. 30(10). 2951–2962. 20 indexed citations

18.

Hu, Ruimin, Jun Chen, Chen Chen, et al.. (2016). Action recognition by saliency-based dense sampling. Neurocomputing. 236. 82–92. 14 indexed citations

19.

Li, Hongyang, et al.. (2010). The compensation algorithm of a new siphon rain gauge. 85–91.

20.

Li, Hongyang, et al.. (2009). Analysis of the Internal Pressure in Tube Hydroforming and Its Experimental Investigation. Journal of Material Science and Technology. 22(2). 284–288. 1 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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