Yunsheng Ma

987 total citations · 1 hit paper
33 papers, 412 citations indexed

About

Yunsheng Ma is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Yunsheng Ma has authored 33 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 8 papers in Automotive Engineering. Recurrent topics in Yunsheng Ma's work include Autonomous Vehicle Technology and Safety (6 papers), Advanced Neural Network Applications (5 papers) and Human-Automation Interaction and Safety (4 papers). Yunsheng Ma is often cited by papers focused on Autonomous Vehicle Technology and Safety (6 papers), Advanced Neural Network Applications (5 papers) and Human-Automation Interaction and Safety (4 papers). Yunsheng Ma collaborates with scholars based in United States, China and Switzerland. Yunsheng Ma's co-authors include Ziran Wang, Xu Cao, Wenqian Ye, Can Cui, Can Cui, Sicheng Zhao, Tengfei Xing, Kurt Keutzer, Hua Chai and Juanwu Lu and has published in prestigious journals such as The Journal of the Acoustical Society of America, Sustainability and Physics of Fluids.

In The Last Decade

Yunsheng Ma

31 papers receiving 401 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.

Drive as You Speak: Enabling Human-Like Interaction with Large Language Models in Autonomous Vehicles

2024 60 citations Can Cui, Yunsheng Ma et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Yunsheng Ma United States	11	136	129	90	55	41	33	412
Arijit Chowdhury India	12	130 1.0×	81 0.6×	82 0.9×	16 0.3×	29 0.7×	52	404
Seop Hyeong Park South Korea	9	76 0.6×	170 1.3×	77 0.9×	23 0.4×	32 0.8×	23	430
Naiwala P. Chandrasiri Japan	10	78 0.6×	100 0.8×	104 1.2×	40 0.7×	51 1.2×	36	335
Xiaohan Yang China	12	67 0.5×	133 1.0×	27 0.3×	44 0.8×	28 0.7×	52	419
Mokhtar Keche Algeria	11	121 0.9×	118 0.9×	35 0.4×	68 1.2×	50 1.2×	56	412
Haimin Zhang Australia	10	147 1.1×	231 1.8×	51 0.6×	133 2.4×	35 0.9×	21	502
Mikko Tarkiainen Finland	7	82 0.6×	60 0.5×	152 1.7×	18 0.3×	17 0.4×	21	405
Ka Keung Lee Hong Kong	9	151 1.1×	228 1.8×	44 0.5×	27 0.5×	13 0.3×	19	352

Countries citing papers authored by Yunsheng Ma

Since Specialization

Citations

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

Fields of papers citing papers by Yunsheng Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunsheng Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Yunsheng Ma. A scholar is included among the top collaborators of Yunsheng Ma 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 Yunsheng Ma. Yunsheng Ma 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.

Cui, Can, Yupeng Zhou, Sung‐Yeon Park, et al.. (2025). On-Board Vision-Language Models (VLMs) for Personalized Motion Control of Autonomous Vehicles. 20349–20356. 1 indexed citations

2.

Ma, Yunsheng, Wenqian Ye, Shuo Xing, et al.. (2025). Position: Prospective of Autonomous Driving - Multimodal LLMs, World Models, Embodied Intelligence, AI Alignment, and Mamba. 920–936. 7 indexed citations

3.

Jiang, Haoyu, Yunsheng Ma, Shi Zeng, Yutao Tian, & Dapeng Zhang. (2025). Current Status of Bibliometrics-Based Research on Measurement and Communication Technology for Space Tracking Ships. Journal of Marine Science and Engineering. 13(4). 719–719.

4.

Ma, Yunsheng & Ziran Wang. (2024). ViT-DD: Multi-Task Vision Transformer for Semi-Supervised Driver Distraction Detection. 417–423. 10 indexed citations

5.

Ma, Yunsheng, Xu Cao, Wenqian Ye, et al.. (2024). Learning Autonomous Driving Tasks via Human Feedbacks with Large Language Models. 4985–4995. 1 indexed citations

6.

Zhang, Dapeng, et al.. (2024). Exploring subsea dynamics: A comprehensive review of underwater pipelines and cables. Physics of Fluids. 36(10). 11 indexed citations

7.

Zhang, Dapeng, et al.. (2024). Marine Equipment Siting Using Machine-Learning-Based Ocean Remote Sensing Data: Current Status and Future Prospects. Sustainability. 16(20). 8889–8889. 11 indexed citations

8.

Cao, Xu, Tong Zhou, Yunsheng Ma, et al.. (2024). MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding. 21819–21830. 16 indexed citations

9.

Cui, Can, Yupeng Zhou, Yunsheng Ma, et al.. (2024). Personalized Autonomous Driving with Large Language Models: Field Experiments. 20–27. 6 indexed citations

10.

Ma, Yunsheng, Can Cui, Xu Cao, et al.. (2024). LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs. 15141–15151. 24 indexed citations

11.

Lu, Juanwu, Can Cui, Yunsheng Ma, Aniket Bera, & Ziran Wang. (2024). Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture. 15428–15437.

12.

Liu, Zongqi, Xueguan Song, Chao Zhang, Yunsheng Ma, & Dacheng Tao. (2023). RSAL-iMFS: A framework of randomized stacking with active learning for incremental multi-fidelity surrogate modeling. Engineering Applications of Artificial Intelligence. 120. 105871–105871. 7 indexed citations

13.

Shen, Xiaobo, Zhiwei Zhang, Yunsheng Ma, et al.. (2023). Prediction of minimum ignition energy for combustible dust using graph neural networks and SMILES data augmentation. Powder Technology. 429. 118876–118876. 2 indexed citations

14.

Cui, Can, Yunsheng Ma, Juanwu Lu, & Ziran Wang. (2023). Radar Enlightens the Dark: Enhancing Low-Visibility Perception for Automated Vehicles with Camera-Radar Fusion. 2726–2733. 5 indexed citations

15.

Yuan, Liangqi, Yunsheng Ma, Lü Su, & Ziran Wang. (2023). Peer-to-Peer Federated Continual Learning for Naturalistic Driving Action Recognition. 5250–5259. 23 indexed citations

16.

Ma, Yunsheng, Wenqian Ye, Xu Cao, et al.. (2023). CEMFormer: Learning to Predict Driver Intentions from in-Cabin and External Cameras via Spatial-Temporal Transformers. 4960–4966. 8 indexed citations

17.

Li, Kunpeng, Qingye Li, Liye Lv, et al.. (2023). A nonlinearity integrated bi-fidelity surrogate model based on nonlinear mapping. Structural and Multidisciplinary Optimization. 66(9). 6 indexed citations

18.

Cui, Can, Yunsheng Ma, Xu Cao, Wenqian Ye, & Ziran Wang. (2023). Human-Autonomy Teaming on Autonomous Vehicles with Large Language Model-Enabled Human Digital Twins. 319–324. 5 indexed citations

19.

Ma, Yunsheng, et al.. (2023). Advancements and Challenges in Deep Learning-Driven Marine Data Assimilation: A Comprehensive Review. 9(4). 1–17. 1 indexed citations

20.

León, Phillip L. De & Yunsheng Ma. (2002). Normalized, HOS-based, blind speech separation algorithms. 2. 1197–1201. 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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