Mingxing Tan

19.9k total citations · 3 hit papers
43 papers, 6.6k citations indexed

About

Mingxing Tan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Hardware and Architecture. According to data from OpenAlex, Mingxing Tan has authored 43 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 14 papers in Hardware and Architecture. Recurrent topics in Mingxing Tan's work include Advanced Neural Network Applications (16 papers), Parallel Computing and Optimization Techniques (12 papers) and Embedded Systems Design Techniques (10 papers). Mingxing Tan is often cited by papers focused on Advanced Neural Network Applications (16 papers), Parallel Computing and Optimization Techniques (12 papers) and Embedded Systems Design Techniques (10 papers). Mingxing Tan collaborates with scholars based in United States, China and Germany. Mingxing Tan's co-authors include Quoc V. Le, Ruoming Pang, Boqing Gong, Alan Yuille, Cihang Xie, Jiang Wang, Zhiru Zhang, Adams Wei Yu, Steve Dai and Yunyang Xiong and has published in prestigious journals such as Neurocomputing, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and IEEE Robotics and Automation Letters.

In The Last Decade

Mingxing Tan

41 papers receiving 6.4k 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.

EfficientDet: Scalable and Efficient Object Detection

2020 5.3k citations Mingxing Tan, Ruoming Pang et al. profile →
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection

2022 301 citations Adams Wei Yu, Daiyi Peng et al. profile →
Adversarial Examples Improve Image Recognition

2020 247 citations Cihang Xie, Mingxing Tan et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mingxing Tan United States	16	4.2k	1.2k	998	839	735	43	6.6k
Daquan Zhou China	11	2.8k 0.7×	943 0.8×	559 0.6×	629 0.7×	740 1.0×	29	4.9k
Alexey Bochkovskiy Taiwan	2	4.3k 1.0×	748 0.6×	1.3k 1.3×	1.2k 1.4×	850 1.2×	2	7.5k
Peihua Li China	29	4.6k 1.1×	1.9k 1.5×	742 0.7×	573 0.7×	1.2k 1.7×	118	8.2k
Qilong Wang China	21	4.3k 1.0×	1.9k 1.6×	648 0.6×	575 0.7×	1.2k 1.6×	67	7.3k
Priya Goyal India	5	3.2k 0.8×	1.6k 1.3×	742 0.7×	495 0.6×	676 0.9×	9	6.3k
Qibin Hou China	30	6.6k 1.6×	1.6k 1.3×	1.0k 1.0×	880 1.0×	1.6k 2.2×	68	9.7k
Chunjing Xu China	23	4.4k 1.0×	1.4k 1.1×	588 0.6×	538 0.6×	1.2k 1.6×	63	6.3k
Kai Han China	21	3.1k 0.8×	1.1k 0.9×	474 0.5×	537 0.6×	652 0.9×	48	5.0k
Yunhe Wang China	29	5.0k 1.2×	2.0k 1.6×	571 0.6×	575 0.7×	1.3k 1.8×	88	7.4k
Tong He China	21	5.8k 1.4×	1.8k 1.5×	1.3k 1.3×	579 0.7×	1.3k 1.8×	69	8.0k

Countries citing papers authored by Mingxing Tan

Since Specialization

Citations

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

Fields of papers citing papers by Mingxing Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingxing Tan

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

Xie, Yichen, Runsheng Xu, Tong He, et al.. (2025). S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Model with Spatio-Temporal Visual Representation. 1622–1632. 1 indexed citations

2.

Lambert, John, Yanchao Bai, Jing Luo, et al.. (2025). SceneDiffuser++: City-Scale Traffic Simulation via a Generative World Model. 1570–1580.

3.

Chen, Kan, Runzhou Ge, Hang Qiu, et al.. (2024). WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting. 4766–4773. 10 indexed citations

4.

Sun, Pei, et al.. (2024). PVTransformer: Point-to-Voxel Transformer for Scalable 3D Object Detection. 4238–4244. 3 indexed citations

5.

Li, Sheng, Tao Chen, Liqun Cheng, et al.. (2023). Hyperscale Hardware Optimized Neural Architecture Search. 343–358. 2 indexed citations

6.

He, Tong, et al.. (2023). LEF: Late-to-Early Temporal Fusion for LiDAR 3D Object Detection. 1637–1644. 3 indexed citations

7.

Xiong, Yunyang, Hanxiao Liu, Suyog Gupta, et al.. (2021). MobileDets: Searching for Object Detection Architectures for Mobile Accelerators. 3824–3833. 97 indexed citations

8.

Dai, Zihang, Hanxiao Liu, Quoc V. Le, & Mingxing Tan. (2021). CoAtNet: Marrying Convolution and Attention for All Data Sizes. arXiv (Cornell University). 34. 1 indexed citations

9.

Tan, Mingxing & Quoc V. Le. (2021). EfficientNetV2: Smaller Models and Faster Training. International Conference on Machine Learning. 10096–10106. 1 indexed citations

10.

Tan, Mingxing, Ruoming Pang, & Quoc V. Le. (2020). EfficientDet: Scalable and Efficient Object Detection. 10778–10787. 5281 indexed citations breakdown →

11.

Dong, Xuanyi, Mingxing Tan, Adams Wei Yu, et al.. (2020). AutoHAS: Differentiable Hyper-parameter and Architecture Search.. arXiv (Cornell University). 10 indexed citations

12.

Xie, Cihang, Mingxing Tan, Boqing Gong, et al.. (2020). Adversarial Examples Improve Image Recognition. 816–825. 247 indexed citations breakdown →

13.

Tan, Mingxing & Quoc V. Le. (2019). MixConv: Mixed Depthwise Convolutional Kernels. arXiv (Cornell University). 74. 21 indexed citations

14.

Liu, Gai, Mingxing Tan, Steve Dai, Ritchie Zhao, & Zhiru Zhang. (2017). Architecture and Synthesis for Area-Efficient Pipelining of Irregular Loop Nests. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 36(11). 1817–1830. 11 indexed citations

15.

Zhao, Ritchie, Mingxing Tan, Steve Dai, & Zhiru Zhang. (2015). Area-efficient pipelining for FPGA-targeted high-level synthesis. 1–6. 15 indexed citations

16.

Wang, Wenjuan, et al.. (2015). Application of BP Neural Network in Monitoring of Ocean Tide Level. 19. 1238–1240. 5 indexed citations

17.

Tan, Mingxing, et al.. (2015). Selection of Methods for Predicting Tidal Levels with a Typhoon Surge Effect. Journal of Coastal Research. 73. 337–341. 3 indexed citations

18.

Tan, Mingxing, Bin Liu, Steve Dai, & Zhiru Zhang. (2014). Multithreaded pipeline synthesis for data-parallel kernels. International Conference on Computer Aided Design. 718–725. 14 indexed citations

19.

Tan, Mingxing, Bin Liu, Steve Dai, & Zhiru Zhang. (2014). Multithreaded pipeline synthesis for data-parallel kernels. 718–725. 17 indexed citations

20.

Tan, Mingxing, et al.. (2012). Energy-efficient branch prediction with compiler-guided history stack. Design, Automation, and Test in Europe. 449–454. 3 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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