Zhen Qin

3.0k total citations
124 papers, 1.7k citations indexed

About

Zhen Qin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Zhen Qin has authored 124 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Artificial Intelligence, 40 papers in Computer Vision and Pattern Recognition and 31 papers in Information Systems. Recurrent topics in Zhen Qin's work include Recommender Systems and Techniques (15 papers), AI in cancer detection (13 papers) and COVID-19 diagnosis using AI (11 papers). Zhen Qin is often cited by papers focused on Recommender Systems and Techniques (15 papers), AI in cancer detection (13 papers) and COVID-19 diagnosis using AI (11 papers). Zhen Qin collaborates with scholars based in China, United States and Nigeria. Zhen Qin's co-authors include Zhiguang Qin, Kim‐Kwang Raymond Choo, Yi Ding, Dajiang Chen, Yibo Zhang, Ning Zhang, Xufei Mao, Xuanhui Wang, Donald Metzler and Michael Bendersky and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.

In The Last Decade

Zhen Qin

106 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhen Qin China	22	697	639	397	297	192	124	1.7k
Shadi AlZu’bi Jordan	26	684 1.0×	379 0.6×	578 1.5×	363 1.2×	123 0.6×	103	1.9k
Zongda Wu China	24	1.1k 1.5×	346 0.5×	371 0.9×	299 1.0×	104 0.5×	85	1.9k
Piyush Kumar Shukla India	30	842 1.2×	515 0.8×	369 0.9×	587 2.0×	341 1.8×	181	2.8k
Mohammed A. AlZain Saudi Arabia	24	706 1.0×	416 0.7×	673 1.7×	511 1.7×	248 1.3×	91	2.0k
Madini O. Alassafi Saudi Arabia	25	496 0.7×	294 0.5×	688 1.7×	511 1.7×	129 0.7×	111	1.9k
Marek R. Ogiela Poland	24	962 1.4×	809 1.3×	380 1.0×	209 0.7×	62 0.3×	229	2.0k
Chiranji Lal Chowdhary India	21	821 1.2×	465 0.7×	229 0.6×	431 1.5×	108 0.6×	56	1.9k
R. Manikandan India	27	687 1.0×	327 0.5×	388 1.0×	585 2.0×	275 1.4×	148	2.2k
Mabrook Al‐Rakhami Saudi Arabia	28	628 0.9×	247 0.4×	555 1.4×	549 1.8×	228 1.2×	75	2.2k
Rajesh Kumar Dhanaraj India	22	473 0.7×	389 0.6×	253 0.6×	486 1.6×	198 1.0×	161	1.6k

Countries citing papers authored by Zhen Qin

Since Specialization

Citations

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

Fields of papers citing papers by Zhen Qin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhen Qin

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

Qin, Zhen, Daoyuan Chen, Wenhao Zhang, et al.. (2025). The Synergy Between Data and Multi-Modal Large Language Models: A Survey From Co-Development Perspective. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(10). 8415–8434. 1 indexed citations

Qin, Zhen, Saru Kumari, Chaosheng Feng, et al.. (2025). TASS: Threshold Adaptor Signature Scheme for Holographic IoT Consumer Devices in Blockchain Enabled Federated Learning. IEEE Transactions on Consumer Electronics. 71(3). 8662–8673.

Chen, Dajiang, et al.. (2025). Edge-Adaptive Dynamic Scalable Convolution for Efficient Remote Mobile Pathology Analysis. ACM Transactions on Autonomous and Adaptive Systems. 20(4). 1–24.

Ejiyi, Chukwuebuka Joseph, et al.. (2025). ATEDU-NET: An Attention-Embedded Deep Unet for multi-disease diagnosis in chest X-ray images, breast ultrasound, and retina fundus. Computers in Biology and Medicine. 186. 109708–109708. 5 indexed citations

Chen, Dajiang, et al.. (2024). MFSSE: Multi-Keyword Fuzzy Ranked Symmetric Searchable Encryption With Pattern Hidden in Mobile Cloud Computing. IEEE Transactions on Cloud Computing. 12(4). 1042–1057. 4 indexed citations

Qin, Zhen, et al.. (2024). Enhanced Pseudo-Label Generation With Self-Supervised Training for Weakly- Supervised Semantic Segmentation. IEEE Transactions on Circuits and Systems for Video Technology. 34(8). 7017–7028. 16 indexed citations

Li, Na, Shuai Yan, Xiaohui Wei, et al.. (2024). Association of mid-pregnancy ferritin levels with postpartum glucose metabolism in women with gestational diabetes. Nutrition and Diabetes. 14(1). 77–77.

Ding, Yi, et al.. (2024). C2FResMorph: A high-performance framework for unsupervised 2D medical image registration. Pattern Recognition. 154. 110615–110615. 4 indexed citations

Ejiyi, Chukwuebuka Joseph, et al.. (2024). Advancing cancer diagnosis and prognostication through deep learning mastery in breast, colon, and lung histopathology with ResoMergeNet. Computers in Biology and Medicine. 185. 109494–109494. 10 indexed citations

10.

Ejiyi, Chukwuebuka Joseph, et al.. (2024). Enhanced Cardiovascular Disease Prediction Modelling using Machine Learning Techniques: A Focus on CardioVitalnet. Network Computation in Neural Systems. 36(3). 716–748. 13 indexed citations

11.

Drozdov, Andrew, Honglei Zhuang, Zhuyun Dai, et al.. (2023). PaRaDe: Passage Ranking using Demonstrations with LLMs. 14242–14252. 4 indexed citations

12.

Ding, Yi, et al.. (2023). A cascaded framework with cross-modality transfer learning for whole heart segmentation. Pattern Recognition. 147. 110088–110088. 15 indexed citations

13.

Xu, Jin, et al.. (2023). Electroencephalogram-Based Subject Matching Learning (ESML): A Deep Learning Framework on Electroencephalogram-Based Biometrics and Task Identification. Behavioral Sciences. 13(9). 765–765. 5 indexed citations

14.

Qin, Zhen, Xiaoying Ding, Tingting Shen, et al.. (2022). Association between use of liraglutide and liver fibrosis in patients with type 2 diabetes. Frontiers in Endocrinology. 13. 935180–935180. 18 indexed citations

15.

Qin, Zhen, Le Yan, Honglei Zhuang, et al.. (2021). Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees. International Conference on Learning Representations. 28 indexed citations

16.

Qin, Zhen, et al.. (2021). Spatial self-attention network with self-attention distillation for fine-grained image recognition. Journal of Visual Communication and Image Representation. 81. 103368–103368. 20 indexed citations

17.

Qin, Zhen, et al.. (2019). A framework for hierarchical division of retinal vascular networks. Neurocomputing. 392. 221–232. 20 indexed citations

18.

Qin, Zhen, Jianfei Sun, Dajiang Chen, & Hu Xiong. (2017). Flexible and Lightweight Access Control for Online Healthcare Social Networks in the Context of the Internet of Things. Mobile Information Systems. 2017. 1–15. 8 indexed citations

19.

Qin, Zhen, et al.. (2017). Frequent Symptom Sets Identification from Uncertain Medical Data in Differentially Private Way. Scientific Programming. 2017. 1–10. 3 indexed citations

20.

Zhang, Sheng, et al.. (2016). Study of the Influence of Brand Image on Consumers' Online Shopping Intention - - in the Case of Cosmetics.. WHICEB. 36. 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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