Lida Zhou

544 total citations
7 papers, 391 citations indexed

About

Lida Zhou is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Lida Zhou has authored 7 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 5 papers in Signal Processing and 5 papers in Artificial Intelligence. Recurrent topics in Lida Zhou's work include Data Management and Algorithms (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Advanced Clustering Algorithms Research (3 papers). Lida Zhou is often cited by papers focused on Data Management and Algorithms (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Advanced Clustering Algorithms Research (3 papers). Lida Zhou collaborates with scholars based in China, Canada and United States. Lida Zhou's co-authors include Yewang Chen, Ji‐Xiang Du, Yi Chen, Nizar Bouguila, Songwen Pei, Cheng Wang, Naixue Xiong, Zhiwen Yu, Xin Liu and Tian Wang and has published in prestigious journals such as Pattern Recognition, Information Sciences and IEEE Transactions on Systems Man and Cybernetics Systems.

In The Last Decade

Lida Zhou

7 papers receiving 385 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lida Zhou China 5 218 132 80 58 37 7 391
Meizhu Liu United States 11 188 0.9× 180 1.4× 91 1.1× 36 0.6× 27 0.7× 21 488
Tongfeng Sun China 12 194 0.9× 216 1.6× 49 0.6× 32 0.6× 12 0.3× 43 450
Gen Zhang China 5 210 1.0× 130 1.0× 80 1.0× 28 0.5× 7 0.2× 14 460
Anant Ram India 6 122 0.6× 58 0.4× 66 0.8× 26 0.4× 14 0.4× 19 282
M. M. Raghuwanshi India 10 248 1.1× 121 0.9× 45 0.6× 15 0.3× 12 0.3× 62 496
W. Ahmed United States 6 302 1.4× 134 1.0× 46 0.6× 19 0.3× 16 0.4× 15 482

Countries citing papers authored by Lida Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Lida Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lida Zhou

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

All Works

7 of 7 papers shown
1.
Wu, Jiaoxiang, Yue Wang, Shihao Bai, et al.. (2023). Aberrant alteration of peripheral B lymphocyte subsets in hepatocellular carcinoma patients. International Journal of Medical Sciences. 20(2). 267–277. 1 indexed citations
2.
Chen, Yewang, Lida Zhou, Nizar Bouguila, et al.. (2020). BLOCK-DBSCAN: Fast clustering for large scale data. Pattern Recognition. 109. 107624–107624. 114 indexed citations
3.
Chen, Yewang, Lida Zhou, Songwen Pei, et al.. (2019). KNN-BLOCK DBSCAN: Fast Clustering for Large-Scale Data. IEEE Transactions on Systems Man and Cybernetics Systems. 51(6). 3939–3953. 137 indexed citations
4.
Chen, Yewang, Lida Zhou, Nizar Bouguila, et al.. (2018). Semi-Convex Hull Tree: Fast Nearest Neighbor Queries for Large Scale Data on GPUs. 911–916. 13 indexed citations
5.
Chen, Yewang, Lida Zhou, Yi Tang, et al.. (2018). Fast neighbor search by using revised k-d tree. Information Sciences. 472. 145–162. 66 indexed citations
6.
Chen, Yewang, et al.. (2017). FRS: Fast Range Search by Pruning Unnecessary Distance Computations Based on K-D Tree. 22. 1160–1165. 3 indexed citations
7.
Chen, Yewang, Lida Zhou, Cheng Wang, et al.. (2016). Decentralized Clustering by Finding Loose and Distributed Density Cores. Information Sciences. 433-434. 510–526. 57 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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