Zhenfei Wang

711 total citations
56 papers, 444 citations indexed

About

Zhenfei Wang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Zhenfei Wang has authored 56 papers receiving a total of 444 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 12 papers in Computer Networks and Communications. Recurrent topics in Zhenfei Wang's work include Advanced Vision and Imaging (5 papers), Energy Efficient Wireless Sensor Networks (5 papers) and Artificial Intelligence in Healthcare (4 papers). Zhenfei Wang is often cited by papers focused on Advanced Vision and Imaging (5 papers), Energy Efficient Wireless Sensor Networks (5 papers) and Artificial Intelligence in Healthcare (4 papers). Zhenfei Wang collaborates with scholars based in China, United Kingdom and Australia. Zhenfei Wang's co-authors include Zhiyun Zheng, Liying Zhang, Chongjian Wang, Miaomiao Niu, Yikang Wang, Liying Zhang, Dun Li, Kun Yang, Baochang Shi and Junfeng Wang and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Access.

In The Last Decade

Zhenfei Wang

51 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Zhenfei Wang China	11	129	90	85	66	61	56	444
Javad Hassannataj Joloudari Iran	14	350 2.7×	171 1.9×	138 1.6×	75 1.1×	95 1.6×	33	811
Jawad Rasheed Türkiye	15	315 2.4×	155 1.7×	59 0.7×	115 1.7×	64 1.0×	71	780
Sanjukta De India	5	136 1.1×	38 0.4×	39 0.5×	58 0.9×	46 0.8×	11	525
Abid Ishaq Pakistan	15	287 2.2×	198 2.2×	53 0.6×	95 1.4×	50 0.8×	24	689
Hamid Saadatfar Iran	12	216 1.7×	122 1.4×	118 1.4×	52 0.8×	89 1.5×	31	551
Dina Elreedy Egypt	5	287 2.2×	72 0.8×	48 0.6×	41 0.6×	57 0.9×	10	599
Ankush Singla United States	14	197 1.5×	29 0.3×	235 2.8×	30 0.5×	114 1.9×	31	519
Μαρία Τρίγκα Greece	13	265 2.1×	353 3.9×	52 0.6×	43 0.7×	43 0.7×	61	824
Bharath Sudharsan Ireland	13	252 2.0×	47 0.5×	161 1.9×	116 1.8×	23 0.4×	39	512
Omar M. Elzeki Egypt	12	186 1.4×	77 0.9×	136 1.6×	46 0.7×	136 2.2×	17	603

Countries citing papers authored by Zhenfei Wang

Since Specialization

Citations

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

Fields of papers citing papers by Zhenfei Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhenfei Wang

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

Li, Guangchen, et al.. (2025). A landslide area segmentation method based on an improved UNet. Scientific Reports. 15(1). 11852–11852. 2 indexed citations

Zhu, Zhenfang, et al.. (2025). DASNeRF: depth consistency optimization, adaptive sampling, and hierarchical structural fusion for sparse view neural radiance fields. PLoS ONE. 20(5). e0321878–e0321878. 1 indexed citations

Li, Xiaotong, et al.. (2025). SREGS: Sparse-view Gaussian radiance fields with geometric regularization and region exploration. Neural Networks. 191. 107820–107820.

Hameed, Khizar, et al.. (2025). Artificial intelligence-enhanced zero-knowledge proofs for privacy-preserving digital forensics in cloud environments. Journal of Network and Computer Applications. 243. 104331–104331.

Zhang, Guangyuan, et al.. (2025). StruGS: Structurally consistent 3D Gaussian Splatting with targeted optimization strategies. Computers & Graphics. 132. 104440–104440.

Wang, Zhenfei, et al.. (2024). An efficient enhanced feature framework for grading of renal cell carcinoma using Histopathological Images. Applied Intelligence. 55(3). 2 indexed citations

Wang, Zhenfei, et al.. (2024). Artificial Intelligence-Based Classification of CT Images Using a Hybrid SpinalZFNet. Interdisciplinary Sciences Computational Life Sciences. 16(4). 907–925. 7 indexed citations

Chen, Liang, et al.. (2023). UGC-YOLO: Underwater Environment Object Detection Based on YOLO with a Global Context Block. Journal of Ocean University of China. 22(3). 665–674. 20 indexed citations

Zhang, Liying, Miaomiao Niu, Xiaotian Liu, et al.. (2023). Stroke prevention in rural residents: development of a simplified risk assessment tool with artificial intelligence. Neurological Sciences. 44(5). 1687–1694. 6 indexed citations

10.

Wang, Zhenfei, et al.. (2023). Feature reduction of unbalanced data classification based on density clustering. Computing. 106(1). 29–55. 2 indexed citations

11.

Liu, Zihan, Hongming Zhang, Shufang Wu, et al.. (2023). An Optimised Region-Growing Algorithm for Extraction of the Loess Shoulder-Line from DEMs. ISPRS International Journal of Geo-Information. 12(4). 140–140.

12.

Qian, Miao, et al.. (2022). Color segmentation of multicolor porous printed fabrics by conjugating SOM and EDSC clustering algorithms. Textile Research Journal. 92(19-20). 3488–3499. 9 indexed citations

13.

Jia, Yan, et al.. (2022). Weighted IForest and siamese GRU on small sample anomaly detection in healthcare. Computer Methods and Programs in Biomedicine. 218. 106706–106706. 12 indexed citations

14.

Wang, Yikang, Liying Zhang, Miaomiao Niu, et al.. (2021). Genetic Risk Score Increased Discriminant Efficiency of Predictive Models for Type 2 Diabetes Mellitus Using Machine Learning: Cohort Study. Frontiers in Public Health. 9. 606711–606711. 11 indexed citations

15.

Zhang, Liying, Yikang Wang, Miaomiao Niu, Chongjian Wang, & Zhenfei Wang. (2020). Machine learning for characterizing risk of type 2 diabetes mellitus in a rural Chinese population: the Henan Rural Cohort Study. Scientific Reports. 10(1). 4406–4406. 97 indexed citations

16.

Wang, Zhenfei, et al.. (2019). Novel approach for planetary gear train dimensional synthesis through kinematic mapping. Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science. 234(1). 273–288. 6 indexed citations

17.

Wang, Zhenfei, et al.. (2017). DMGR: a Multipath Geographic Routing Strategy with the On-demand Mobile Sink in WSN.. 35. 1–24. 3 indexed citations

18.

Wang, Zhenfei. (2008). Study on Object Segmentation of Airplane Image Based on an Edge-Based Region Growing Method. Flight Dynamics.

19.

Wang, Zhenfei & Shengli Song. (2007). Digital Watermarking Algorithm Based on Neural Network in Multiwavelet Domain. Journal of Southeast University. 23(2). 211–215. 2 indexed citations

20.

Wang, Zhenfei. (2006). New Improvement of Set Partitioning in Hierarchical Trees (SPIHT) Algorithm. Journal of Chinese Computer Systems. 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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