Zhijun Fang

4.6k total citations · 2 hit papers
162 papers, 3.0k citations indexed

About

Zhijun Fang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Zhijun Fang has authored 162 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 113 papers in Computer Vision and Pattern Recognition, 29 papers in Artificial Intelligence and 20 papers in Aerospace Engineering. Recurrent topics in Zhijun Fang's work include Advanced Vision and Imaging (24 papers), Video Surveillance and Tracking Methods (15 papers) and Advanced Image and Video Retrieval Techniques (15 papers). Zhijun Fang is often cited by papers focused on Advanced Vision and Imaging (24 papers), Video Surveillance and Tracking Methods (15 papers) and Advanced Image and Video Retrieval Techniques (15 papers). Zhijun Fang collaborates with scholars based in China, United States and Singapore. Zhijun Fang's co-authors include Yuming Fang, Feiniu Yuan, Yongbin Gao, Weisi Lin, Zhou Wang, Zhengxiao Zhang, Naixue Xiong, Xiaoyan Jiang, Guangtao Zhai and Kede Ma and has published in prestigious journals such as Scientific Reports, Carbon and IEEE Transactions on Industrial Electronics.

In The Last Decade

Zhijun Fang

145 papers receiving 2.9k 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.

An effective CNN and Transformer complementary network for medical image segmentation

2022 306 citations Zhijun Fang et al. Pattern Recognition profile →
No-Reference Quality Assessment of Contrast-Distorted Images Based on Natural Scene Statistics

2014 291 citations Yuming Fang, Zhijun Fang et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhijun Fang China	27	2.0k	650	456	252	225	162	3.0k
Xin Yang China	27	2.4k 1.2×	587 0.9×	540 1.2×	194 0.8×	146 0.6×	230	3.7k
Arif Mahmood Pakistan	28	1.7k 0.9×	887 1.4×	375 0.8×	339 1.3×	168 0.7×	121	2.7k
Kai‐Lung Hua Taiwan	23	1.2k 0.6×	481 0.7×	262 0.6×	153 0.6×	406 1.8×	141	2.3k
Lizhuang Ma China	38	3.5k 1.8×	941 1.4×	709 1.6×	136 0.5×	174 0.8×	321	4.9k
Yaowei Wang China	35	3.4k 1.8×	1.6k 2.5×	504 1.1×	209 0.8×	209 0.9×	187	4.7k
Zuoyong Li China	28	2.0k 1.0×	817 1.3×	801 1.8×	140 0.6×	280 1.2×	186	3.3k
Yu Cheng United States	23	2.4k 1.2×	1.5k 2.3×	604 1.3×	129 0.5×	137 0.6×	65	4.5k
Bohyung Han South Korea	33	3.2k 1.6×	1.3k 2.0×	223 0.5×	138 0.5×	130 0.6×	104	4.0k
Jianke Zhu China	31	2.9k 1.5×	1.1k 1.7×	432 0.9×	200 0.8×	97 0.4×	109	4.1k

Countries citing papers authored by Zhijun Fang

Since Specialization

Citations

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

Fields of papers citing papers by Zhijun Fang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhijun Fang

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

Qiu, Xihe, et al.. (2025). MIMAR-OSA: Enhancing obstructive sleep apnea diagnosis through multimodal data integration and missing modality reconstruction. Pattern Recognition. 169. 111917–111917.

Jiang, Xiaoyan, et al.. (2024). TV-Net: A Structure-Level Feature Fusion Network Based on Tensor Voting for Road Crack Segmentation. IEEE Transactions on Intelligent Transportation Systems. 25(6). 5743–5754. 11 indexed citations

Liu, Erwu, et al.. (2024). Fast-Fading Channel and Power Optimization of the Magnetic Inductive Cellular Network. IEEE Transactions on Wireless Communications. 23(10). 15096–15111.

Han, Yu, et al.. (2024). Generalized Correspondence Matching via Flexible Hierarchical Refinement and Patch Descriptor Distillation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 10290–10297.

Fang, Zhijun, et al.. (2024). Improving Precipitation Forecasting through Early Fusion and Spatiotemporal Prediction: A Case Study Using the MultiPred Model. Atmosphere. 15(3). 329–329.

Fang, Zhijun, et al.. (2024). Enhanced side information fusion framework for sequential recommendation. International Journal of Machine Learning and Cybernetics. 16(2). 1157–1173. 1 indexed citations

Huang, Bo, et al.. (2024). G-MBRMD: Lightweight liver segmentation model based on guided teaching with multi-head boundary reconstruction mapping distillation. Computers in Biology and Medicine. 178. 108733–108733. 2 indexed citations

Zhang, Wei, et al.. (2024). Preparation, characterization, oral bioavailability, and pharmacodynamic study of eugenol-porous silica solidified powder. Drug Delivery and Translational Research. 15(4). 1235–1248. 4 indexed citations

Gao, Yongbin, et al.. (2023). An angular shrinkage BERT model for few-shot relation extraction with none-of-the-above detection. Pattern Recognition Letters. 166. 151–158. 3 indexed citations

10.

Xiong, Naixue, et al.. (2023). Self-Supervised Learning of Depth and Ego-Motion for 3D Perception in Human Computer Interaction. ACM Transactions on Multimedia Computing Communications and Applications. 20(2). 1–21. 8 indexed citations

11.

Jiang, Xiaoyan, et al.. (2023). A Multiscale Coarse-to-Fine Human Pose Estimation Network With Hard Keypoint Mining. IEEE Transactions on Systems Man and Cybernetics Systems. 54(3). 1730–1741. 4 indexed citations

12.

Wang, Li, Nan Li, Zhijun Fang, et al.. (2023). Subnanometric Pt clusters supported on MgO-incorporated porous carbon as efficient metal–base bifunctional catalysts for reductive heterocyclization reactions. Green Chemistry. 25(3). 1107–1119. 7 indexed citations

13.

Jiang, Xiaoyan, et al.. (2023). F-SCP: An automatic prompt generation method for specific classes based on visual language pre-training models. Pattern Recognition. 147. 110096–110096. 10 indexed citations

14.

Huang, Bo, Ruyan Guo, Yimin Zhu, et al.. (2022). Aspect-level sentiment analysis with aspect-specific context position information. Knowledge-Based Systems. 243. 108473–108473. 56 indexed citations

15.

Gao, Yongbin, Zhijun Fang, Yuming Fang, et al.. (2021). Depth Estimation Using a Self-Supervised Network Based on Cross-Layer Feature Fusion and the Quadtree Constraint. IEEE Transactions on Circuits and Systems for Video Technology. 32(4). 1751–1766. 44 indexed citations

16.

Jiang, Xiaoyan, et al.. (2020). Photometric transfer for direct visual odometry. Knowledge-Based Systems. 213. 106671–106671. 12 indexed citations

17.

Zhang, Juan, Zhijun Fang, Bo Huang, et al.. (2019). Single Image Snow Removal via Composition Generative Adversarial Networks. IEEE Access. 7. 25016–25025. 40 indexed citations

18.

Fang, Zhijun, et al.. (2018). Depth Estimation of Video Sequences With Perceptual Losses. IEEE Access. 6. 30536–30546. 17 indexed citations

19.

Jiang, Xiaoyan, Zhijun Fang, Naixue Xiong, et al.. (2018). Data Fusion-Based Multi-Object Tracking for Unconstrained Visual Sensor Networks. IEEE Access. 6. 13716–13728. 18 indexed citations

20.

Cheng, Songlin, Rui Wang, Jun Wu, Wei Zhang, & Zhijun Fang. (2018). Performance Analysis and Beamforming Designs of MIMO AF Relaying With Hardware Impairments. IEEE Transactions on Vehicular Technology. 67(7). 6229–6243. 11 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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