Yifeng Shi

1.0k total citations · 2 hit papers
18 papers, 575 citations indexed

About

Yifeng Shi is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Yifeng Shi has authored 18 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 3 papers in Automotive Engineering. Recurrent topics in Yifeng Shi's work include Advanced Neural Network Applications (8 papers), Video Surveillance and Tracking Methods (5 papers) and Autonomous Vehicle Technology and Safety (3 papers). Yifeng Shi is often cited by papers focused on Advanced Neural Network Applications (8 papers), Video Surveillance and Tracking Methods (5 papers) and Autonomous Vehicle Technology and Safety (3 papers). Yifeng Shi collaborates with scholars based in China, United States and Hong Kong. Yifeng Shi's co-authors include Hanyu Li, Jirui Yuan, Haibao Yu, Zaiqing Nie, Zebang Yang, Yizhen Luo, Xing Hu, Zhenglong Guo, Xiao Tan and Errui Ding and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, National Science Review and Mathematical Problems in Engineering.

In The Last Decade

Yifeng Shi

17 papers receiving 564 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.

DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection

2022 277 citations Haibao Yu, Yizhen Luo et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →
RT-DETRv3: Real-Time End-to-End Object Detection with Hierarchical Dense Positive Supervision

2025 19 citations Yifeng Shi et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yifeng Shi China	10	388	177	127	78	75	18	575
Luís Garrote Portugal	10	295 0.8×	139 0.8×	145 1.1×	52 0.7×	75 1.0×	38	503
Jirui Yuan China	7	291 0.8×	139 0.8×	91 0.7×	51 0.7×	65 0.9×	10	448
Mauro Bellone Estonia	12	296 0.8×	247 1.4×	162 1.3×	50 0.6×	120 1.6×	37	605
Qichuan Geng China	7	530 1.4×	255 1.4×	157 1.2×	144 1.8×	81 1.1×	15	807
Eduardo Arnold United Kingdom	6	455 1.2×	285 1.6×	211 1.7×	100 1.3×	87 1.2×	9	775
Takashi Naito Japan	13	358 0.9×	225 1.3×	119 0.9×	54 0.7×	120 1.6×	35	557
Abraham Monrroy Japan	6	223 0.6×	232 1.3×	151 1.2×	63 0.8×	94 1.3×	10	574
Haibao Yu China	5	253 0.7×	138 0.8×	86 0.7×	39 0.5×	60 0.8×	11	395
Thierry Château France	15	430 1.1×	115 0.6×	158 1.2×	154 2.0×	53 0.7×	65	709

Countries citing papers authored by Yifeng Shi

Since Specialization

Citations

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

Fields of papers citing papers by Yifeng Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yifeng Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yifeng Shi. A scholar is included among the top collaborators of Yifeng Shi 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 Yifeng Shi. Yifeng Shi 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:

18 of 18 papers shown

Shi, Yifeng, et al.. (2025). RT-DETRv3: Real-Time End-to-End Object Detection with Hierarchical Dense Positive Supervision. 1628–1636. 19 indexed citations breakdown →

Li, Jiaming, Xu Gao, Xiao Tan, et al.. (2024). OffsetNet: Towards Efficient Multiple Object Tracking, Detection, and Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(2). 949–960. 1 indexed citations

Shi, Yifeng, Katherine A. Hoadley, Benjamin C. Calhoun, et al.. (2023). Predicting early breast cancer recurrence from histopathological images in the Carolina Breast Cancer Study. npj Breast Cancer. 9(1). 92–92. 9 indexed citations

Yu, Haibao, Wenxian Yang, Z. Yang, et al.. (2023). V2X-Seq: A Large-Scale Sequential Dataset for Vehicle-Infrastructure Cooperative Perception and Forecasting. 5486–5495. 81 indexed citations

Shi, Yifeng, et al.. (2023). Competition for roadside camera monocular 3D object detection. National Science Review. 10(6). nwad121–nwad121. 2 indexed citations

Chen, Ziming, et al.. (2023). TransIFF: An Instance-Level Feature Fusion Framework for Vehicle-Infrastructure Cooperative 3D Detection with Transformers. 18159–18168. 18 indexed citations

Yu, Haibao, Yizhen Luo, Zebang Yang, et al.. (2022). DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 21329–21338. 277 indexed citations breakdown →

Huo, Qingze, et al.. (2022). Online Action Change Detection for Automatic Vision-based Ground Control of Aircraft. AIAA SCITECH 2022 Forum. 1 indexed citations

Shi, Yifeng, et al.. (2022). Pavement Area Water Detection Algorithm Based on Improved DEEPLABV3+. 93–97.

10.

Ye, Xiaoqing, Hanyu Li, Yifeng Shi, et al.. (2022). Rope3D: The Roadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 21309–21318. 77 indexed citations

11.

Yang, Wei, Xiaoqing Ye, Xiao Tan, et al.. (2021). DANet. 533–539. 17 indexed citations

12.

Kang, Shuai, et al.. (2021). A Robust MTMC Tracking System for AI-City Challenge 2021. 4039–4048. 27 indexed citations

13.

Wu, Wenhao, Yanwu Xu, Xiao Tan, et al.. (2021). DSANet: Dynamic Segment Aggregation Network for Video-Level Representation Learning. 1903–1911. 19 indexed citations

14.

Xia, Meng, Xu Gao, Meng Hao, et al.. (2021). Robust and Online Vehicle Counting at Crowded Intersections. 3997–4003. 18 indexed citations

15.

Shi, Yifeng, Junier B. Oliva, & Marc Niethammer. (2020). Deep Message Passing on Sets. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 5750–5757. 3 indexed citations

16.

Shi, Yifeng, et al.. (2020). Control of the Variable-Speed Pumped Storage Unit-Wind Integrated System. Mathematical Problems in Engineering. 2020. 1–9. 4 indexed citations

17.

Shi, Yifeng, et al.. (2019). Analysis of operation characteristics of adjustable-speed pumped storage hydropower unit with AC excitation. 2019 IEEE 3rd International Electrical and Energy Conference (CIEEC). 862–868. 1 indexed citations

18.

Kim, Bryan S., Yi Fei Cheng, Zixuan Li, et al.. (2019). Game With A Purpose To Collect Home Audio Data. 445–452. 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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