Junying Zhang

573 total citations
42 papers, 419 citations indexed

About

Junying Zhang is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Junying Zhang has authored 42 papers receiving a total of 419 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 13 papers in Signal Processing and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Junying Zhang's work include Neural Networks and Applications (7 papers), Blind Source Separation Techniques (6 papers) and Direction-of-Arrival Estimation Techniques (6 papers). Junying Zhang is often cited by papers focused on Neural Networks and Applications (7 papers), Blind Source Separation Techniques (6 papers) and Direction-of-Arrival Estimation Techniques (6 papers). Junying Zhang collaborates with scholars based in China, United States and Italy. Junying Zhang's co-authors include Qiguang Miao, Junli Liang, Junliang Shang, Kaijun Wang, Dan Liu, Yan Sun, Yue Wang, Le Wei, Ling‐Feng Shi and Xianju Zeng and has published in prestigious journals such as NeuroImage, Expert Systems with Applications and BMC Bioinformatics.

In The Last Decade

Junying Zhang

41 papers receiving 394 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Junying Zhang China	12	135	85	67	54	43	42	419
Thái Hoàng Lê Vietnam	13	123 0.9×	140 1.6×	238 3.6×	11 0.2×	21 0.5×	73	570
Muhammad Iqbal Pakistan	16	506 3.7×	99 1.2×	265 4.0×	146 2.7×	10 0.2×	52	955
João Fernando Mari Brazil	11	187 1.4×	111 1.3×	168 2.5×	15 0.3×	9 0.2×	39	410
Yuanyuan Ding China	13	209 1.5×	29 0.3×	438 6.5×	58 1.1×	6 0.1×	35	671
Yanbo Fan China	18	341 2.5×	94 1.1×	534 8.0×	61 1.1×	17 0.4×	44	857
Guang Dai China	12	176 1.3×	60 0.7×	315 4.7×	30 0.6×	12 0.3×	57	507
Dilan Görür United Kingdom	10	294 2.2×	71 0.8×	65 1.0×	41 0.8×	16 0.4×	14	442
Ning Xie China	15	246 1.8×	36 0.4×	574 8.6×	24 0.4×	26 0.6×	63	846
Hui Yan China	13	161 1.2×	68 0.8×	181 2.7×	77 1.4×	5 0.1×	52	477

Countries citing papers authored by Junying Zhang

Since Specialization

Citations

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

Fields of papers citing papers by Junying Zhang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junying Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Junying Zhang. A scholar is included among the top collaborators of Junying 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 Junying Zhang. Junying Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Ma, Jianfeng, et al.. (2024). Defending against membership inference attacks: RM Learning is all you need. Information Sciences. 670. 120636–120636. 1 indexed citations

Yang, Ruikang, Jianfeng Ma, Junying Zhang, et al.. (2023). Practical Feature Inference Attack in Vertical Federated Learning During Prediction in Artificial Internet of Things. IEEE Internet of Things Journal. 11(1). 5–16. 21 indexed citations

Liu, Zhaowen, Jie Zhang, Xiaohua Xie, et al.. (2018). Neural and genetic determinants of creativity. NeuroImage. 174. 164–176. 52 indexed citations

Zhang, Junying. (2017). Study on the development strategy of Rural Ecotourism based on Ecological Civilization. 1 indexed citations

Tuo, Shouheng, Junying Zhang, Xiguo Yuan, & Longquan Yong. (2017). A new differential evolution algorithm for solving multimodal optimization problems with high dimensionality. Soft Computing. 22(13). 4361–4388. 7 indexed citations

Xu, Pengfei, et al.. (2012). A denoising algorithm via wiener filtering in the shearlet domain. Multimedia Tools and Applications. 71(3). 1529–1558. 17 indexed citations

Liu, Songhua, et al.. (2011). Kernel- k NN: A New k NN Algorithm Based on Informational Energy Metric: Kernel- k NN: A New k NN Algorithm Based on Informational Energy Metric. Acta Automatica Sinica. 36(12). 1681–1688. 1 indexed citations

Zhang, Junying, et al.. (2011). An entropy weighting mixture model for subspace clustering of high-dimensional data. Pattern Recognition Letters. 32(8). 1154–1161. 15 indexed citations

Shang, Junliang, et al.. (2011). Performance analysis of novel methods for detecting epistasis. BMC Bioinformatics. 12(1). 475–475. 54 indexed citations

10.

Zhao, Feng, Junying Zhang, Jing Liu, & Junli Liang. (2011). Radar Target Recognition Based on Nonparametric Density Estimation. JOURNAL OF ELECTRONICS INFORMATION TECHNOLOGY. 30(7). 1740–1743.

11.

Yuan, Xiguo, Junying Zhang, & Yue Wang. (2010). Probability Theory-Based SNP Association Study Method for Identifying Susceptibility Loci and Genetic Disease Models in Human Case-Control Data. IEEE Transactions on NanoBioscience. 9(4). 232–241. 2 indexed citations

12.

Zhang, Junying, et al.. (2010). Distributed Dual Cluster Algorithm Based on Grid for Sensor Streams. International Journal of Digital Content Technology and its Applications. 4(9). 225–233. 5 indexed citations

13.

Liang, Junli, Ding Liu, & Junying Zhang. (2009). Joint frequency, 2-D DOA, and polarization estimation using parallel factor analysis. Science in China Series F Information Sciences. 52(10). 1891–1904. 7 indexed citations

14.

Zhang, Junying, et al.. (2009). Self Organizing Map with Generalized and Localized Parallel Competitions for the TSP. Chinese Journal of Computers. 31(2). 220–227. 1 indexed citations

15.

Wang, Kaijun, et al.. (2009). Estimating the Number of Clusters via System Evolution for Cluster Analysis of Gene Expression Data. IEEE Transactions on Information Technology in Biomedicine. 13(5). 848–853. 19 indexed citations

16.

Liang, Junli, et al.. (2008). A computationally efficient algorithm for joint range–DOA–frequency estimation of near-field sources. Digital Signal Processing. 19(4). 596–611. 32 indexed citations

17.

Zhang, Junying & Qiang Qin. (2008). A new neural network algorithm for planarization problems. Science in China Series F Information Sciences. 51(12). 1947–1957. 4 indexed citations

18.

Du, Lan, Hongwei Liu, Zheng Bao, & Junying Zhang. (2006). A new feature extraction method using the amplitude fluctuation property of target HRRP for radar automatic target recognition. Frontiers of Electrical and Electronic Engineering in China. 1(2). 171–176. 3 indexed citations

19.

Wang, Yue, Zuyi Wang, Jianhua Xuan, et al.. (2005). Optimizing multilayer perceptrons by discriminatory component analysis. 273–282. 1 indexed citations

20.

Dong, Jiyang, Wenjun Wang, & Junying Zhang. (2004). Accumulative competition neural network for shortest path tree computation. 18. 1157–1161. 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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