Hengde Zhu

1.1k total citations · 2 hit papers
14 papers, 596 citations indexed

About

Hengde Zhu is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Hengde Zhu has authored 14 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 3 papers in Molecular Biology and 3 papers in Artificial Intelligence. Recurrent topics in Hengde Zhu's work include Generative Adversarial Networks and Image Synthesis (4 papers), Face recognition and analysis (4 papers) and Brain Tumor Detection and Classification (2 papers). Hengde Zhu is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (4 papers), Face recognition and analysis (4 papers) and Brain Tumor Detection and Classification (2 papers). Hengde Zhu collaborates with scholars based in United Kingdom, China and Saudi Arabia. Hengde Zhu's co-authors include Yudong Zhang, Shuihua Wang‎, Jian Wang, J. M. Górriz, Wei Wang, Qinghua Zhou, Zeyu Ren, Lijia Deng, Siyuan Lu and Ziquan Zhu and has published in prestigious journals such as Neural Networks, Knowledge-Based Systems and Electronics Letters.

In The Last Decade

Hengde Zhu

11 papers receiving 577 citations

Hit Papers

2 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.

Deep learning in food category recognition

2023 245 citations Yudong Zhang, Lijia Deng et al. Information Fusion profile →
Artificial Intelligence in Food Safety: A Decade Review and Bibliometric Analysis

2023 90 citations Zhe Liu, Shuzhe Wang et al. Foods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hengde Zhu United Kingdom	7	172	172	150	108	79	14	596
Zeyu Ren United Kingdom	8	213 1.2×	228 1.3×	186 1.2×	95 0.9×	71 0.9×	14	566
Bayram Akdemïr Türkiye	14	213 1.2×	202 1.2×	131 0.9×	39 0.4×	56 0.7×	43	621
Wataru Shimoda Japan	10	267 1.6×	169 1.0×	62 0.4×	101 0.9×	17 0.2×	28	480
Lijia Deng United Kingdom	7	112 0.7×	94 0.5×	54 0.4×	64 0.6×	38 0.5×	9	360
Abeer Saber Egypt	13	156 0.9×	408 2.4×	222 1.5×	45 0.4×	142 1.8×	24	694
Esraa Hassan Egypt	9	104 0.6×	154 0.9×	99 0.7×	31 0.3×	39 0.5×	13	400
Wei Qi Yan New Zealand	15	370 2.2×	119 0.7×	65 0.4×	177 1.6×	57 0.7×	67	898
Muhammed Fahri Ünlerşen Türkiye	9	82 0.5×	195 1.1×	240 1.6×	44 0.4×	21 0.3×	15	658
Yangyang Liu China	12	116 0.7×	201 1.2×	182 1.2×	45 0.4×	60 0.8×	56	481
Kh Tohidul Islam Australia	12	175 1.0×	98 0.6×	151 1.0×	46 0.4×	40 0.5×	22	427

Countries citing papers authored by Hengde Zhu

Since Specialization

Citations

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

Fields of papers citing papers by Hengde Zhu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hengde Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Hengde Zhu. A scholar is included among the top collaborators of Hengde Zhu 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 Hengde Zhu. Hengde Zhu 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:

14 of 14 papers shown

1.

Ren, Zeyu, et al.. (2025). Semi-CLMT: A Semi-Supervised Framework for Medical Image Segmentation. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(6). 3938–3950.

2.

Song, Siyang, Micol Spitale, Hengde Zhu, et al.. (2025). REACT 2025: the Third Multiple Appropriate Facial Reaction Generation Challenge. VBN Forskningsportal (Aalborg Universitet). 13979–13984.

3.

Zhu, Hengde, Xiangyu Kong, Weicheng Xie, et al.. (2025). PerReactor: Offline Personalised Multiple Appropriate Facial Reaction Generation. Proceedings of the AAAI Conference on Artificial Intelligence. 39(2). 1665–1673.

4.

Song, Siyang, Micol Spitale, Cheng Luo, et al.. (2024). REACT 2024: the Second Multiple Appropriate Facial Reaction Generation Challenge. 1–5. 6 indexed citations

5.

Zhu, Hengde, Weicheng Xie, Linlin Shen, et al.. (2024). PerFRDiff: Personalised Weight Editing for Multiple Appropriate Facial Reaction Generation. Open Research Exeter (University of Exeter). 9495–9504. 4 indexed citations

6.

Liu, Zhe, et al.. (2023). Artificial Intelligence in Food Safety: A Decade Review and Bibliometric Analysis. Foods. 12(6). 1242–1242. 90 indexed citations breakdown →

7.

Yi, Hang, et al.. (2023). An Adaptive Zeroing Neural Network with Non-Convex Activation for Time-Varying Quadratic Minimization. Mathematics. 11(11). 2556–2556. 1 indexed citations

8.

Zhou, Qinghua, Shuihua Wang‎, Hengde Zhu, Xin Zhang, & Yudong Zhang. (2023). Multiple-instance ensemble for construction of deep heterogeneous committees for high-dimensional low-sample-size data. Neural Networks. 167. 380–399. 1 indexed citations

9.

Xu, Zhaozhao, Fangyuan Yang, Hong Wang, et al.. (2023). CGUFS: A clustering-guided unsupervised feature selection algorithm for gene expression data. Journal of King Saud University - Computer and Information Sciences. 35(9). 101731–101731. 4 indexed citations

10.

Zhang, Yudong, Lijia Deng, Hengde Zhu, et al.. (2023). Deep learning in food category recognition. Information Fusion. 98. 101859–101859. 245 indexed citations breakdown →

11.

Zhu, Hengde, Wei Wang, Irek Ulidowski, et al.. (2023). MEEDNets: Medical Image Classification via Ensemble Bio-inspired Evolutionary DenseNets. Knowledge-Based Systems. 280. 111035–111035. 20 indexed citations

12.

Zhu, Hengde, Jian Wang, Shuihua Wang‎, et al.. (2022). An Evolutionary Attention-Based Network for Medical Image Classification. International Journal of Neural Systems. 33(3). 2350010–2350010. 27 indexed citations

13.

Wang, Jian, Hengde Zhu, Shuihua Wang‎, & Yudong Zhang. (2020). A Review of Deep Learning on Medical Image Analysis. Mobile Networks and Applications. 26(1). 351–380. 174 indexed citations

14.

Zhu, Hengde, et al.. (2010). Ore image thresholding using bi-neighbourhood Otsu's approach. Electronics Letters. 46(25). 1666–1668. 24 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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