Heng‐Ru Zhang

788 total citations
33 papers, 569 citations indexed

About

Heng‐Ru Zhang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Heng‐Ru Zhang has authored 33 papers receiving a total of 569 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 19 papers in Information Systems and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Heng‐Ru Zhang's work include Recommender Systems and Techniques (17 papers), Image Retrieval and Classification Techniques (12 papers) and Text and Document Classification Technologies (8 papers). Heng‐Ru Zhang is often cited by papers focused on Recommender Systems and Techniques (17 papers), Image Retrieval and Classification Techniques (12 papers) and Text and Document Classification Technologies (8 papers). Heng‐Ru Zhang collaborates with scholars based in China, United States and Netherlands. Heng‐Ru Zhang's co-authors include Fan Min, Bing Shi, Hong Yu, Zhiheng Zhang, Yuanyuan Xu, Xu He, Lin Zhang, Tong-Jun Li, Wenbin Chen and Zhiheng Zhang and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Heng‐Ru Zhang

29 papers receiving 561 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Heng‐Ru Zhang China	9	325	306	225	124	114	33	569
Claudio Orlandi Denmark	13	141 0.4×	503 1.6×	82 0.4×	79 0.6×	35 0.3×	27	606
Tru H. Cao Vietnam	10	217 0.7×	394 1.3×	100 0.4×	39 0.3×	45 0.4×	52	547
C. I. Ezeife Canada	14	493 1.5×	271 0.9×	143 0.6×	57 0.5×	33 0.3×	48	714
Yi Fang United States	13	281 0.9×	396 1.3×	37 0.2×	98 0.8×	37 0.3×	53	654
Mehrnoush Shamsfard Iran	15	353 1.1×	765 2.5×	47 0.2×	103 0.8×	63 0.6×	77	927
Paolo Viappiani Switzerland	11	171 0.5×	212 0.7×	47 0.2×	45 0.4×	154 1.4×	33	459
G.C.M. Silvestre Ireland	12	409 1.3×	260 0.8×	29 0.1×	170 1.4×	122 1.1×	38	667
Antonio Hernando Spain	7	270 0.8×	140 0.5×	30 0.1×	85 0.7×	52 0.5×	14	372
Chunfeng Yuan China	13	276 0.8×	306 1.0×	50 0.2×	107 0.9×	56 0.5×	61	517
Ding-An Chiang Taiwan	11	134 0.4×	213 0.7×	131 0.6×	22 0.2×	187 1.6×	29	465

Countries citing papers authored by Heng‐Ru Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Heng‐Ru Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heng‐Ru Zhang. 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 Heng‐Ru Zhang. The network helps show where Heng‐Ru Zhang may publish in the future.

Co-authorship network of co-authors of Heng‐Ru Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Heng‐Ru Zhang. A scholar is included among the top collaborators of Heng‐Ru Zhang 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 Heng‐Ru Zhang. Heng‐Ru Zhang 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

Zhang, Heng‐Ru, Xinyu Liu, Yuanyuan Xu, Yifan Yu, & Fan Min. (2025). Classification-wise and cluster-wise contrastive learning for graph neural recommendation. Applied Soft Computing. 183. 113701–113701.

Zhang, Heng‐Ru, et al.. (2025). Frequency-domain augmentation and multi-scale feature alignment for improving transferability of adversarial examples. Computer Networks. 264. 111261–111261.

Fan, Xiangyu, Siyuan Chen, Wen Pan, et al.. (2024). Automatic well-log depth shift with multilevel wavelet decomposition network and dynamic time warping. Geoenergy Science and Engineering. 246. 213583–213583. 3 indexed citations

Zhang, Heng‐Ru, et al.. (2024). SWIM: Sliding-Window Model contrast for federated learning. Future Generation Computer Systems. 164. 107590–107590. 3 indexed citations

Zhang, Heng‐Ru, et al.. (2024). DUPS: Data poisoning attacks with uncertain sample selection for federated learning. Computer Networks. 256. 110909–110909. 2 indexed citations

Xu, Yuanyuan, Hui Xiao, Heng‐Ru Zhang, Wei-Zhi Wu, & Fan Min. (2024). Matrix factorization with a sigmoid-like loss control. Neurocomputing. 576. 127338–127338.

Zhang, Heng‐Ru, et al.. (2024). Exploiting asymmetric influence between instances for label enhancement. Information Sciences. 678. 120954–120954. 1 indexed citations

Zhang, Heng‐Ru, et al.. (2023). Robust federated learning with voting and scaling. Future Generation Computer Systems. 153. 113–124. 7 indexed citations

Zhang, Heng‐Ru, et al.. (2023). Label-dependent feature exploration for label distribution learning. International Journal of Machine Learning and Cybernetics. 14(11). 3685–3704. 2 indexed citations

10.

Li, Guilin, Heng‐Ru Zhang, Fan Min, & Yunan Lu. (2023). Two-stage label distribution learning with label-independent prediction based on label-specific features. Knowledge-Based Systems. 267. 110426–110426. 7 indexed citations

11.

Zhang, Heng‐Ru, et al.. (2023). IUG-CF: Neural collaborative filtering with ideal user group labels. Expert Systems with Applications. 238. 121887–121887. 4 indexed citations

12.

Zhang, Heng‐Ru, et al.. (2023). Multi-Granularity Abnormal Traffic Detection Based on Multi-Instance Learning. IEEE Transactions on Network and Service Management. 21(2). 1467–1477. 2 indexed citations

13.

Wang, Yi, et al.. (2023). Enhancing Text Classification by Graph Neural Networks With Multi-Granular Topic-Aware Graph. IEEE Access. 11. 20169–20183. 20 indexed citations

14.

Zhang, Heng‐Ru, et al.. (2022). Behavior imitation of individual board game players. Applied Intelligence. 53(10). 11571–11585. 1 indexed citations

15.

Zhang, Heng‐Ru, Yu‐Ting Huang, Yuanyuan Xu, & Fan Min. (2020). COS-LDL: Label Distribution Learning by Cosine-Based Distance-Mapping Correlation. IEEE Access. 8. 63961–63970. 6 indexed citations

16.

Zhang, Heng‐Ru, et al.. (2019). ESLI: Enhancing slope one recommendation through local information embedding. PLoS ONE. 14(10). e0222702–e0222702. 1 indexed citations

17.

Zhang, Heng‐Ru, et al.. (2018). Three‐way recommendation integrating global and local information. The Journal of Engineering. 2018(16). 1397–1401. 2 indexed citations

18.

Zhang, Zhiheng, et al.. (2017). Integrating Triangle and Jaccard similarities for recommendation. PLoS ONE. 12(8). e0183570–e0183570. 50 indexed citations

19.

Min, Fan, et al.. (2016). Fast Recommendations With the M-Distance. IEEE Access. 4. 1464–1468. 22 indexed citations

20.

Zhang, Heng‐Ru, et al.. (2011). Web Information Extraction Technology Research Based on Ajax. 208–211. 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.

Explore authors with similar magnitude of impact