Zengfu Wang

10.3k total citations · 6 hit papers
264 papers, 7.9k citations indexed

About

Zengfu Wang is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Zengfu Wang has authored 264 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 127 papers in Computer Vision and Pattern Recognition, 66 papers in Electrical and Electronic Engineering and 56 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Zengfu Wang's work include Semiconductor Quantum Structures and Devices (48 papers), Advanced Vision and Imaging (36 papers) and Face recognition and analysis (25 papers). Zengfu Wang is often cited by papers focused on Semiconductor Quantum Structures and Devices (48 papers), Advanced Vision and Imaging (36 papers) and Face recognition and analysis (25 papers). Zengfu Wang collaborates with scholars based in China, United States and Sweden. Zengfu Wang's co-authors include Yü Liu, Xun Chen, Shuping Liu, Hu Peng, Zheng-Jun Zha, Yang Cao, Tao Mei, Zhigang Zheng, Xian‐Sheng Hua and Z. Jane Wang and has published in prestigious journals such as PLoS ONE, Chemistry of Materials and Journal of The Electrochemical Society.

In The Last Decade

Zengfu Wang

249 papers receiving 7.6k citations

Hit Papers

5 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.

A general framework for image fusion based on multi-scale transform and sparse representation

2014 1.1k citations Yü Liu, Zengfu Wang et al. profile →
Multi-focus image fusion with a deep convolutional neural network

2016 966 citations Yü Liu, Zengfu Wang et al. profile →
Fabrication, Patterning, and Optical Properties of Nanocrystalline YVO₄:A (A = Eu³⁺, Dy³⁺, Sm³⁺, Er³⁺) Phosphor Films via Sol−Gel Soft Lithography

2002 616 citations Zengfu Wang et al. profile →
Deep learning for pixel-level image fusion: Recent advances and future prospects

2017 542 citations Yü Liu, Zengfu Wang et al. profile →
Infrared and visible image fusion with convolutional neural networks

2017 343 citations Yü Liu, Zengfu Wang et al. profile →
Simultaneous image fusion and denoising with adaptive sparse representation

2014 290 citations Yü Liu, Zengfu Wang profile →

Peers

Countries citing papers authored by Zengfu Wang

Since Specialization

Citations

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

Fields of papers citing papers by Zengfu Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zengfu Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Zengfu Wang. A scholar is included among the top collaborators of Zengfu 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 Zengfu Wang. Zengfu 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	Ultra-high temperature and salinity resistant microspheres featuring “Rigid hydrophobic core- soft hydrophilic Shell” structure for deep reservoir profile control 2025 ·Chemical Engineering Journal ·Wei Xiang, Lin Li, (unknown), Zengfu Wang, (unknown), Mingwei Zhao, Caili Dai	3
2	S-YOLO: An enhanced small object detection method based on adaptive gating strategy and dynamic multi-scale focus module 2025 ·Neural Networks ·Zengfu Wang, (unknown), Liejun Wang, (unknown), (unknown)	0
3	Oxygen vacancy-enriched ZIF-8-encapsulated Au nanoparticles for boosting electrochemical dopamine sensing 2025 ·Dalton Transactions ·Dawei Yan, (unknown), Xiaoqing Jia, Shengqing Zhu, Zengfu Wang, Guisheng Li, Shige Wang	2
4	First-principle study on the adsorption behavior and bonding characteristics of hydrogen on Mg low-index surfaces 2025 ·Computational Materials Science ·(unknown), Lei Bao, (unknown), Pengfei Liu, Juexian Cao, Zengfu Wang, Qichi Le, Tong Wang	0
5	A Novel Trajectory Prediction Method Based on CNN, BiLSTM, and Multi-Head Attention Mechanism 2024 ·Aerospace ·(unknown), Quan Pan, Zengfu Wang, (unknown)	5
6	Advancing Micro-Action Recognition with Multi-Auxiliary Heads and Hybrid Loss Optimization 2024 ·Qiankun Li, (unknown), (unknown), (unknown), (unknown), Zengfu Wang	4
7	Joint Mixing Data Augmentation for Skeleton-Based Action Recognition 2024 ·ACM Transactions on Multimedia Computing Communications and Applications ·(unknown), Zengfu Wang	1
8	One-Shot Any-Scene Crowd Counting With Local-to-Global Guidance 2024 ·IEEE Transactions on Image Processing ·(unknown), Zengfu Wang	3
9	Video Rescaling With Recurrent Diffusion 2024 ·IEEE Transactions on Circuits and Systems for Video Technology ·Dingyi Li, Yü Liu, Zengfu Wang, Jian Yang	1
10	Chinese text recognition enhanced by glyph and character semantic information 2023 ·International Journal on Document Analysis and Recognition (IJDAR) ·(unknown), (unknown), Zengfu Wang	4
11	Data-Efficient Masked Video Modeling for Self-supervised Action Recognition 2023 ·Qiankun Li, (unknown), (unknown), (unknown), Shuzhe Wu, Jie Zhang, Shiguang Shan, Zengfu Wang	7
12	Mitigating Context Bias in Action Recognition via Skeleton-Dominated Two-Stream Network 2023 ·Qiankun Li, (unknown), (unknown), (unknown), (unknown), Zengfu Wang	2
13	Multi-task semi-supervised crowd counting via global to local self-correction 2023 ·Pattern Recognition ·(unknown), Zengfu Wang	14
14	SSR-HEF: Crowd Counting With Multiscale Semantic Refining and Hard Example Focusing 2022 ·IEEE Transactions on Industrial Informatics ·(unknown), (unknown), Wen Su, Zengfu Wang	15
15	A Music Performance Method Based on Visual Gesture Recognition 2022 ·(unknown), Zengfu Wang	0
16	Identity–Expression Dual Branch Network for Facial Expression Recognition 2020 ·IEEE Transactions on Cognitive and Developmental Systems ·Haifeng Zhang, Wen Su, Jun Yu, Zengfu Wang	36
17	Real-Time Traffic Sign Recognition Based on Efficient CNNs in the Wild 2018 ·IEEE Transactions on Intelligent Transportation Systems ·Jia Li, Zengfu Wang	140
18	A realistic and reliable 3D pronunciation visualization instruction system for computer-assisted language learning 2016 ·IEEE Conference Proceedings ·(unknown), Zengfu Wang	3
19	Methodology Molecular cytogenetic characterization of the Aegilops biuncialis karyotype 2013 ·Genetics and Molecular Research ·Jing Wang, Wei Zhang, Hui Zhao, (unknown), Zengfu Wang, Jun‐Yuan Ji, Xinhua Zhang, Dawei Wang, Jiming Li	5
20	Far-field improvement of quantum cascade lasers through high-reflection coatings 2011 ·Electronics Letters ·(unknown), Ling‐Jun Wang, (unknown), (unknown), Jingxuan Liu, (unknown), Zengfu Wang	1

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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