Jianfeng Wang

5.7k total citations · 2 hit papers
62 papers, 2.6k citations indexed

About

Jianfeng Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Jianfeng Wang has authored 62 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 6 papers in Aerospace Engineering. Recurrent topics in Jianfeng Wang's work include Advanced Image and Video Retrieval Techniques (16 papers), Domain Adaptation and Few-Shot Learning (11 papers) and Advanced Neural Network Applications (11 papers). Jianfeng Wang is often cited by papers focused on Advanced Image and Video Retrieval Techniques (16 papers), Domain Adaptation and Few-Shot Learning (11 papers) and Advanced Neural Network Applications (11 papers). Jianfeng Wang collaborates with scholars based in China, United States and United Kingdom. Jianfeng Wang's co-authors include Lijuan Wang, Shipeng Li, Zicheng Liu, Wenwu Zhu, Chong Luo, Zhe Gan, Xiaolin Hu, Jingdong Wang, Fangyun Wei and Zheng Zhang and has published in prestigious journals such as Journal of the American Chemical Society, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Jianfeng Wang

59 papers receiving 2.5k 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.

End-to-End Semi-Supervised Object Detection with Soft Teacher

2021 321 citations Mengde Xu, Zheng Zhang et al. 2021 IEEE/CVF International Conference on Computer Vision (ICCV) profile →
An Empirical Study of Training End-to-End Vision-and-Language Transformers

2022 204 citations Zhe Gan, Jianfeng Wang et al. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) profile →

Peers

Countries citing papers authored by Jianfeng Wang

Since Specialization

Citations

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

Fields of papers citing papers by Jianfeng Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianfeng Wang

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

#	Work	Indexed citations
1	Video-based adaptive vibration modal identification via binary decomposition tree 2025 ·Mechanical Systems and Signal Processing ·Mingguang Shan, (unknown), Jianfeng Wang, (unknown), (unknown), (unknown), Lei Yu, Bin Liu, Lei Liu	0
2	On {1,2}-distance-balancedness of generalized Petersen graphs 2025 ·Discrete Mathematics ·(unknown), Jianfeng Wang, Sandi Klavžar	0
3	Fast and accurate visual vibration measurement via derivative-enhanced phase-based optical flow 2024 ·Mechanical Systems and Signal Processing ·(unknown), Lei Yu, Wentao Niu, Jianfeng Wang, (unknown), (unknown), Mingguang Shan	19
4	Optimization of multi-target continuous dynamic trajectory for unmanned aerial vehicles 2024 ·Aerospace Science and Technology ·(unknown), Naiming Qi, (unknown), Tong Lin, Yuxuan Yao, Jianfeng Wang, Mingying Huo	3
5	MMSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos 2024 ·Jielin Qiu, Jiacheng Zhu, (unknown), (unknown), (unknown), (unknown), Zhengyuan Yang, Linjie Li, Jianfeng Wang, Ding Zhao, Bo Li, Lijuan Wang	2
6	Learning 3D Photography Videos via Self-supervised Diffusion on Single Images 2023 ·Xiaodong Wang, Chenfei Wu, Shengming Yin, Minheng Ni, Jianfeng Wang, Linjie Li, Zhengyuan Yang, Fan Yang, Lijuan Wang, Zicheng Liu, Yuejian Fang, Nan Duan	1
7	Model-Reference Reinforcement Learning for Safe Aerial Recovery of Unmanned Aerial Vehicles 2023 ·Aerospace ·(unknown), (unknown), (unknown), Naiming Qi, Jianfeng Wang	4
8	NUWA-XL: Diffusion over Diffusion for eXtremely Long Video Generation 2023 ·(unknown), (unknown), (unknown), Jianfeng Wang, Xiaodong Wang, Minheng Ni, Zhengyuan Yang, Linjie Li, Shuguang Liu, Fan Yang, Jianlong Fu, (unknown), Lijuan Wang, Zicheng Liu, Houqiang Li, Nan Duan	18
9	Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation 2022 ·2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ·Jianfeng Wang, Thomas Lukasiewicz	19
10	Scaling Up Vision-Language Pretraining for Image Captioning 2022 ·2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ·Xiaowei Hu, Zhe Gan, Jianfeng Wang, Zhengyuan Yang, Zicheng Liu, Yumao Lu, Lijuan Wang	127
11	End-to-End Semi-Supervised Object Detection with Soft Teacher breakdown → 2021 ·2021 IEEE/CVF International Conference on Computer Vision (ICCV) ·Mengde Xu, Zheng Zhang, Han Hu, Jianfeng Wang, Lijuan Wang, Fangyun Wei, Xiang Bai, Zicheng Liu	321
12	Cooperative Mission Planning for Heterogeneous UAVs with the Improved Multi-objective Quantum-behaved Particle Swarm Optimization Algorithm 2019 ·Jianfeng Wang, (unknown), (unknown), Zhongxi Hou	3
13	TEACH MBA DATA SCIENCE USING R 2018 ·Issues in Information Systems ·Jianfeng Wang, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	0
14	Gated recurrent convolution neural network for OCR 2017 ·Neural Information Processing Systems ·Jianfeng Wang, Xiaolin Hu	63
15	Facial Age Estimation With Age Difference 2016 ·IEEE Transactions on Image Processing ·Zhenzhen Hu, Yonggang Wen, Jianfeng Wang, Meng Wang, Richang Hong, Shuicheng Yan	72
16	A Task Technology Fit Model on e-Learning 2015 ·Issues in Information Systems ·(unknown), Jianfeng Wang, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	2
17	Combinatorial Test Suites Generation Method Based on Fuzzy Genetic Algorithm. 2015 ·J. Inf. Hiding Multim. Signal Process. ·(unknown), (unknown), Shouda Jiang, Jianfeng Wang	2
18	HOW CONFLICTS MAY IMPACT INTENTIONS TO SHARE KNOWLEDGE IN A VIRTUAL TEAM 2013 ·Issues in Information Systems ·(unknown), Jianfeng Wang, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown)	3
19	Task Knowledge and Task-Technology Fit in a Virtual Team 2013 ·Milam Aiken, (unknown), Jianfeng Wang	11
20	Order preserving hashing for approximate nearest neighbor search 2013 ·Jianfeng Wang, Jingdong Wang, Nenghai Yu, Shipeng Li	90

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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