Fazhi He

2.1k total citations
68 papers, 1.7k citations indexed

About

Fazhi He is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, Fazhi He has authored 68 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 13 papers in Information Systems. Recurrent topics in Fazhi He's work include Image Enhancement Techniques (10 papers), Video Surveillance and Tracking Methods (7 papers) and Recommender Systems and Techniques (7 papers). Fazhi He is often cited by papers focused on Image Enhancement Techniques (10 papers), Video Surveillance and Tracking Methods (7 papers) and Recommender Systems and Techniques (7 papers). Fazhi He collaborates with scholars based in China, United Kingdom and Australia. Fazhi He's co-authors include Yiteng Pan, Shengdong Zhang, Haoran Li, Haiping Yu, Yilin Chen, Yiqi Wu, Dejun Zhang, Wenqi Ren, Yuan Cheng and Yü Liu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Pattern Recognition.

In The Last Decade

Fazhi He

64 papers receiving 1.6k citations

Peers

Fazhi He
Mukesh Saraswat India
Guopu Zhu China
Zhaoquan Gu China
İlhan Aydın Türkiye
Euripides G. M. Petrakis Greece
Minnan Luo China
Zhiyong Liu China
Lianglun Cheng China
Yingjie Xia China
Mukesh Saraswat India
Fazhi He
Citations per year, relative to Fazhi He Fazhi He (= 1×) peers Mukesh Saraswat

Countries citing papers authored by Fazhi He

Since Specialization
Citations

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

Fields of papers citing papers by Fazhi He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fazhi He

This figure shows the co-authorship network connecting the top 25 collaborators of Fazhi He. A scholar is included among the top collaborators of Fazhi He 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 Fazhi He. Fazhi He is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Tang, Wei & Fazhi He. (2025). EAT: Multi-Exposure Image Fusion With Adversarial Learning and Focal Transformer. IEEE Transactions on Multimedia. 27. 3744–3754. 6 indexed citations
2.
Liang, Jing, et al.. (2025). CADCL: Reconstruct parametric CAD models from B-rep via contrastive learning. Journal of Computational Design and Engineering. 12(10). 176–184.
3.
He, Fazhi, et al.. (2025). LXLv2: Enhanced LiDAR Excluded Lean 3D Object Detection with Fusion of 4D Radar and Camera. IEEE Robotics and Automation Letters. 10(3). 2862–2869.
4.
Si, Tongzhen, et al.. (2023). Diversity feature constraint based on heterogeneous data for unsupervised person re-identification. Information Processing & Management. 60(3). 103304–103304. 21 indexed citations
5.
Zhang, Shengdong, et al.. (2022). DRDDN: dense residual and dilated dehazing network. The Visual Computer. 39(3). 953–969. 9 indexed citations
6.
Yu, Haiping, et al.. (2021). A weighted region-based level set method for image segmentation with intensity inhomogeneity. PLoS ONE. 16(8). e0255948–e0255948. 3 indexed citations
7.
Ji, Donghong, et al.. (2021). Document-level event causality identification via graph inference mechanism. Information Sciences. 561. 115–129. 30 indexed citations
8.
Zhang, Dejun, et al.. (2020). Weight asynchronous update: Improving the diversity of filters in a deep convolutional network. Computational Visual Media. 6(4). 455–466. 4 indexed citations
9.
Zhang, Shengdong, Fazhi He, & Wenqi Ren. (2020). NLDN: Non-local dehazing network for dense haze removal. Neurocomputing. 410. 363–373. 51 indexed citations
10.
Yan, Xiaohu, et al.. (2019). An optimizer ensemble algorithm and its application to image registration. Integrated Computer-Aided Engineering. 26(4). 311–327. 10 indexed citations
11.
Jia, Dan, Jinling Chen, Yu Liu, et al.. (2019). The value of the left atrial appendage orifice perimeter of 3D model based on 3D TEE data in the choice of device size of LAmbre™ occluder. International journal of cardiac imaging. 35(10). 1841–1851. 7 indexed citations
12.
He, Fazhi, et al.. (2019). A Novel Bat Algorithm based on Cross Boundary Learning and Uniform Explosion Strategy. Applied mathematics/Applied Mathematics. A Journal of Chinese Universities/Gao-xiao yingyong shuxue xuebao. 34(4). 480–502. 31 indexed citations
13.
Zhang, Dejun, et al.. (2019). Reconstructed similarity for faster GANs-based word translation to mitigate hubness. Neurocomputing. 362. 83–93. 6 indexed citations
14.
Pan, Yiteng, Fazhi He, & Haiping Yu. (2017). Trust-aware Collaborative Denoising Auto-Encoder for Top-N Recommendation. arXiv (Cornell University). 11 indexed citations
15.
Pan, Yiteng, et al.. (2017). Trust-aware Top-N Recommender Systems with Correlative Denoising Autoencoder.. arXiv (Cornell University). 4 indexed citations
16.
Deng, Qing, Yijia Wang, Bo Hu, et al.. (2017). Evaluating the morphology of the left atrial appendage by a transesophageal echocardiographic 3-dimensional printed model. Medicine. 96(38). e7865–e7865. 12 indexed citations
17.
He, Fazhi, et al.. (2017). A transparent selective undo algorithm for collaborative editing. 156–161. 2 indexed citations
18.
He, Fazhi, et al.. (2016). An efficient collaborative editing algorithm supporting string-based operations. 45–50. 4 indexed citations
19.
Liu, Huajun, et al.. (2011). Performance-based control interfaces using mixture of factor analyzers. The Visual Computer. 27(6-8). 595–603. 11 indexed citations
20.

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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