Hongwei Ding

1.5k total citations · 1 hit paper
80 papers, 966 citations indexed

About

Hongwei Ding is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Hongwei Ding has authored 80 papers receiving a total of 966 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Computer Vision and Pattern Recognition, 21 papers in Electrical and Electronic Engineering and 20 papers in Artificial Intelligence. Recurrent topics in Hongwei Ding's work include Digital Media Forensic Detection (11 papers), Anomaly Detection Techniques and Applications (8 papers) and Imbalanced Data Classification Techniques (6 papers). Hongwei Ding is often cited by papers focused on Digital Media Forensic Detection (11 papers), Anomaly Detection Techniques and Applications (8 papers) and Imbalanced Data Classification Techniques (6 papers). Hongwei Ding collaborates with scholars based in China, United States and Singapore. Hongwei Ding's co-authors include Xiaohui Cui, Zhidong Shen, Qi Tao, Hui Jiang, Xuemei Wang, Changrui Ren, Youkun Zheng, Zhenyu Wang, Qiang Wan and H.D. Liu and has published in prestigious journals such as Journal of Colloid and Interface Science, Chemical Physics Letters and Materials Science and Engineering A.

In The Last Decade

Hongwei Ding

69 papers receiving 935 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.

Imbalanced data classification: A KNN and generative adversarial networks-based hybrid approach for intrusion detection

2022 150 citations Hongwei Ding, Xiaohui Cui et al. profile →

Peers

Hongwei Ding

AI

EEE

MC

CVPR

CNC

Xiaojun Ye China

R. K. Sharma India

Lidong Wang China

Juan A. Holgado-Terriza Spain

Joan Lu United Kingdom

Xiao Chen China

Ruqian Lu China

Yiqi Wu China

Fulong Chen China

Bing Shi China

Xiaojun Ye China

Hongwei Ding

280 ×0.8

AI

230 ×1.0

EEE

262 ×1.4

MC

144 ×0.8

CVPR

141 ×0.9

CNC

Citations per year, relative to Hongwei Ding Hongwei Ding (= 1×) peers Xiaojun Ye

Countries citing papers authored by Hongwei Ding

Since Specialization

Citations

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

Fields of papers citing papers by Hongwei Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongwei Ding

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

1.

Tao, Qi, et al.. (2025). ELSP-MA: An Efficient Lightweight and Security-Enhanced Privacy-Preserving Message Authentication Scheme for VANETs. IEEE Transactions on Vehicular Technology. 74(10). 16055–16064.

2.

Ding, Hongwei, et al.. (2025). Improving Infrared Small Target Detection With GAN-Driven Data Augmentation. IEEE Transactions on Multimedia. 27. 9516–9531. 1 indexed citations

3.

Ding, Hongwei, et al.. (2025). Balancing Act: MDGAN for Imbalanced Tabular Data Synthesis. IEEE Transactions on Knowledge and Data Engineering. 37(11). 6304–6319.

4.

Li, Mingchuan, Rui Ma, Liqun Li, et al.. (2024). Grain boundary migration hysteresis during recrystallization of IN738LC alloy fabricated via laser powder bed fusion. Materials Science and Engineering A. 916. 147256–147256. 1 indexed citations

5.

Ding, Hongwei, et al.. (2024). Leveraging GANs data augmentation for imbalanced medical image classification. Applied Soft Computing. 165. 112050–112050. 11 indexed citations

6.

Ding, Hongwei, Jingjing Yang, Di Wei, et al.. (2024). In situ preparation of tannin-mediated CeO2@CuS nanocomposites for multimodal wound therapy. Chinese Chemical Letters. 36(6). 110286–110286. 5 indexed citations

7.

Ding, Hongwei, et al.. (2024). Infrared Small Target Detection Improvement via Hybrid Data Augmentation Using Diffusion Models and GAN. IEEE Transactions on Aerospace and Electronic Systems. 61(2). 3031–3045. 1 indexed citations

8.

Dong, Liang, et al.. (2024). FDNet: Imperceptible backdoor attacks via frequency domain steganography and negative sampling. Neurocomputing. 583. 127546–127546. 2 indexed citations

9.

Hu, Ruimin, et al.. (2023). Multi-scale modeling temporal hierarchical attention for sequential recommendation. Information Sciences. 641. 119126–119126. 9 indexed citations

10.

Teng, Teng, et al.. (2023). Characteristics of glucose and lipid metabolism and the interaction between gut microbiota and colonic mucosal immunity in pigs during cold exposure. Journal of Animal Science and Biotechnology. 14(1). 84–84. 22 indexed citations

11.

Ding, Hongwei, et al.. (2023). TMG-GAN: Generative Adversarial Networks-Based Imbalanced Learning for Network Intrusion Detection. IEEE Transactions on Information Forensics and Security. 19. 1156–1167. 52 indexed citations

12.

Bahr‐Hamm, Katharina, et al.. (2023). Using entropy of snoring, respiratory effort and electrocardiography signals during sleep for OSA detection and severity classification. Sleep Medicine. 111. 21–27. 4 indexed citations

13.

Tao, Qi, et al.. (2023). B-DSPA: A Blockchain-Based Dynamically Scalable Privacy-Preserving Authentication Scheme in Vehicular Ad Hoc Networks. IEEE Internet of Things Journal. 11(1). 1385–1397. 13 indexed citations

14.

Tao, Qi, et al.. (2021). Cross-Department Secures Data Sharing in Food Industry via Blockchain-Cloud Fusion Scheme. Security and Communication Networks. 2021. 1–18. 17 indexed citations

15.

Ding, Hongwei, et al.. (2021). A Transformer-Based Hierarchical Variational AutoEncoder Combined Hidden Markov Model for Long Text Generation. Entropy. 23(10). 1277–1277. 9 indexed citations

16.

Ding, Hongwei, et al.. (2021). MFF-Net: Deepfake Detection Network Based on Multi-Feature Fusion. Entropy. 23(12). 1692–1692. 20 indexed citations

17.

Tao, Qi, et al.. (2021). Application Research: Big Data in Food Industry. Foods. 10(9). 2203–2203. 26 indexed citations

18.

Ding, Hongwei, et al.. (2020). MRU-NET: A U-Shaped Network for Retinal Vessel Segmentation. Applied Sciences. 10(19). 6823–6823. 13 indexed citations

19.

Ding, Hongwei, Hui Jiang, & Xuemei Wang. (2020). How organic ligands affect the phase transition and fluorescent stability of perovskite nanocrystals. Journal of Materials Chemistry C. 8(26). 8999–9004. 20 indexed citations

20.

Ding, Hongwei, Weiwei Liu, Youkun Zheng, et al.. (2019). Transition metal halide-doped, highly stable all-inorganic perovskite nanocrystals for fabrication of white light-emitting diodes. Journal of Materials Chemistry C. 7(6). 1690–1695. 23 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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