Hong Zhao

806 total citations
63 papers, 541 citations indexed

About

Hong Zhao is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Hong Zhao has authored 63 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 16 papers in Computer Networks and Communications and 15 papers in Artificial Intelligence. Recurrent topics in Hong Zhao's work include Video Analysis and Summarization (6 papers), Multimodal Machine Learning Applications (6 papers) and Anomaly Detection Techniques and Applications (5 papers). Hong Zhao is often cited by papers focused on Video Analysis and Summarization (6 papers), Multimodal Machine Learning Applications (6 papers) and Anomaly Detection Techniques and Applications (5 papers). Hong Zhao collaborates with scholars based in China, United States and South Korea. Hong Zhao's co-authors include Hoon Kim, Christian Mascle, Xiangyan Zeng, Pervez Khan, Stephen T.C. Wong, Yunjie He, Zhiwen Chen, Vishva Shah, Jianhong Xu and Tao Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Hong Zhao

57 papers receiving 517 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong Zhao China 13 119 94 89 82 75 63 541
Aniekan Essien United Kingdom 10 142 1.2× 139 1.5× 38 0.4× 36 0.4× 94 1.3× 18 594
Yi Ding China 14 129 1.1× 73 0.8× 85 1.0× 58 0.7× 58 0.8× 54 505
Xiaodong Zhao China 11 45 0.4× 189 2.0× 44 0.5× 115 1.4× 51 0.7× 32 570
Miroslav Svítek Czechia 13 84 0.7× 63 0.7× 124 1.4× 30 0.4× 106 1.4× 83 608
Roberto Gagliardi Italy 7 89 0.7× 84 0.9× 198 2.2× 54 0.7× 73 1.0× 13 614
Faisal Shahzad Pakistan 6 45 0.4× 162 1.7× 139 1.6× 47 0.6× 58 0.8× 8 538
Adrian Florea Romania 11 62 0.5× 68 0.7× 69 0.8× 31 0.4× 45 0.6× 65 467
Young Yoon South Korea 14 194 1.6× 121 1.3× 159 1.8× 70 0.9× 18 0.2× 56 664
Rahat Iqbal United Kingdom 9 28 0.2× 107 1.1× 65 0.7× 56 0.7× 27 0.4× 21 557
Zdzisław Pólkowski India 10 73 0.6× 76 0.8× 64 0.7× 38 0.5× 29 0.4× 62 432

Countries citing papers authored by Hong Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Hong Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Zhao. A scholar is included among the top collaborators of Hong Zhao 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 Hong Zhao. Hong Zhao 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.
Zhao, Hong, et al.. (2025). Optimizing the flexible job shop scheduling problem via deep reinforcement learning with mean multichannel graph attention. Applied Soft Computing. 177. 113128–113128. 1 indexed citations
2.
Zhao, Hong, et al.. (2024). Multi-scale features with temporal information guidance for video captioning. Engineering Applications of Artificial Intelligence. 137. 109102–109102. 1 indexed citations
3.
Yang, Yongyi, et al.. (2024). High frequency domain enhancement and channel attention module for multi-view stereo. Computers & Electrical Engineering. 121. 109855–109855. 2 indexed citations
4.
Zhao, Hong, et al.. (2024). A deep reinforcement learning method based on a multiexpert graph neural network for flexible job shop scheduling. Computers & Industrial Engineering. 200. 110768–110768. 8 indexed citations
5.
6.
Huang, Sheng, Shuai Qu, Weitao Wang, et al.. (2024). Multichannel Hybrid Parallel Classification Network Based on Siamese Network for the DAS Event Recognition System. IEEE Sensors Journal. 25(2). 2629–2637. 1 indexed citations
7.
Zhao, Hong, et al.. (2023). Semantic guidance network for video captioning. Scientific Reports. 13(1). 16076–16076. 5 indexed citations
8.
Zhao, Hong, et al.. (2023). An enhanced text classification model by the inverted attention orthogonal projection module. Connection Science. 35(1). 1 indexed citations
9.
Zhao, Hong, et al.. (2023). Enhancing the robustness of vision transformer defense against adversarial attacks based on squeeze-and-excitation module. PeerJ Computer Science. 9. e1197–e1197. 3 indexed citations
10.
Lu, Yonggang, et al.. (2023). Simple yet effective joint guidance learning for few-shot semantic segmentation. Applied Intelligence. 53(22). 26603–26621. 4 indexed citations
11.
12.
Zhao, Hong, et al.. (2022). ASK-ViT: A Model with Improved ViT Robustness through Incorporating SK Modules Using Adversarial Training. Electronics. 11(20). 3370–3370. 1 indexed citations
13.
Zhao, Hong, et al.. (2021). Research on End-to-end Voiceprint Recognition Model Based on Convolutional Neural Network. Journal of Web Engineering. 5 indexed citations
14.
Kim, Hoon, et al.. (2020). Optimal Cache Resource Allocation Based on Deep Neural Networks for Fog Radio Access Networks. 網際網路技術學刊. 21(4). 967–975. 8 indexed citations
15.
Zhao, Hong, et al.. (2019). Key‐Frame Extraction Based on HSV Histogram and Adaptive Clustering. Mathematical Problems in Engineering. 2019(1). 11 indexed citations
16.
Zhao, Hong, et al.. (2019). Malicious Domain Names Detection Algorithm Based on Lexical Analysis and Feature Quantification. IEEE Access. 7. 128990–128999. 16 indexed citations
17.
Zhao, Hong, et al.. (2019). Malicious Domain Names Detection Algorithm Based on N-Gram. Journal of Computer Networks and Communications. 2019. 1–9. 27 indexed citations
18.
Zhao, Hong, et al.. (2019). Packet Scheduling Using SVM Models in Wireless Communication Networks. 網際網路技術學刊. 20(5). 1505–1512. 8 indexed citations
19.
Zhao, Hong, et al.. (2019). Recognition of Transportation State by Smartphone Sensors Using Deep Bi-LSTM Neural Network. Journal of Computer Networks and Communications. 2019. 1–11. 24 indexed citations
20.
Zhao, Hong, Qing Cui, Vishva Shah, Jianhong Xu, & Tao Wang. (2016). Enhancement of glucose isomerase activity by immobilizing on silica/chitosan hybrid microspheres B Enzymatic. 1 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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