Suqun Cao

587 total citations · 1 hit paper
35 papers, 374 citations indexed

About

Suqun Cao is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Suqun Cao has authored 35 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 9 papers in Control and Systems Engineering. Recurrent topics in Suqun Cao's work include Face and Expression Recognition (6 papers), Advanced Algorithms and Applications (5 papers) and Text and Document Classification Technologies (4 papers). Suqun Cao is often cited by papers focused on Face and Expression Recognition (6 papers), Advanced Algorithms and Applications (5 papers) and Text and Document Classification Technologies (4 papers). Suqun Cao collaborates with scholars based in China, India and Australia. Suqun Cao's co-authors include Ahmed N. Abdalla, Rendong Ji, Muhammad Shahzad Nazir, Mingxin Jiang, Yao Liu, Tao Hai, Liyan Liu, Xiaoming Xue, Chaoshun Li and K. Sujatha and has published in prestigious journals such as SHILAP Revista de lepidopterología, Materials Letters and Journal of Energy Storage.

In The Last Decade

Suqun Cao

31 papers receiving 350 citations

Hit Papers

align trajectories sort by overperformance

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.

Integration of energy storage system and renewable energy sources based on artificial intelligence: An overview

2021 240 citations Ahmed N. Abdalla, Suqun Cao et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Suqun Cao China	5	180	111	57	54	47	35	374
Ranjith Kumar Gatla India	12	276 1.5×	116 1.0×	91 1.6×	62 1.1×	23 0.5×	50	458
Rabiah Badar Pakistan	11	354 2.0×	227 2.0×	53 0.9×	72 1.3×	37 0.8×	41	470
Zıyodulla Yusupov Türkiye	11	127 0.7×	55 0.5×	49 0.9×	52 1.0×	31 0.7×	38	291
Radu Porumb Romania	12	472 2.6×	264 2.4×	79 1.4×	66 1.2×	28 0.6×	62	619
Sasongko Pramono Hadi Indonesia	10	325 1.8×	149 1.3×	33 0.6×	61 1.1×	38 0.8×	107	446
Santiago Bañales Qatar	8	384 2.1×	176 1.6×	48 0.8×	47 0.9×	19 0.4×	13	509
Kashif Mehmood China	13	415 2.3×	230 2.1×	116 2.0×	77 1.4×	64 1.4×	29	535
Ning Yan China	11	462 2.6×	225 2.0×	37 0.6×	115 2.1×	31 0.7×	49	588
Md Rasel Sarkar Malaysia	11	377 2.1×	225 2.0×	62 1.1×	113 2.1×	47 1.0×	23	544
Delong Zhang China	13	307 1.7×	204 1.8×	56 1.0×	100 1.9×	32 0.7×	36	494

Countries citing papers authored by Suqun Cao

Since Specialization

Citations

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

Fields of papers citing papers by Suqun Cao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suqun Cao

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

Sujatha, K., et al.. (2023). Machine Learning Algorithm for Trend Analysis in Short term Forecasting of COVID-19 using Lung X-ray Images. Journal of Physics Conference Series. 2467(1). 12001–12001. 1 indexed citations

Jiang, Qingsong, et al.. (2023). Syntheses of efficient nickel oxide film by low-temperature fabrication technique for high-performance perovskite solar cells. Materials Today Communications. 35. 106401–106401. 4 indexed citations

Xun, Wei, et al.. (2023). Activating and optimizing MoS2 basal-plane via spontaneous oxidation for enhanced photocatalytic hydrogen generation. Materials Today Communications. 36. 106609–106609. 1 indexed citations

Cao, Suqun, et al.. (2022). Polarized Supercontinuum Generation in CS₂-Core All-Normal Dispersion Photonic Crystal Fiber. IEEE photonics journal. 14(6). 1–7. 4 indexed citations

Wang, Jingtao, Chengjian Hong, Rendong Ji, et al.. (2022). GPU-accelerated image registration algorithm in ophthalmic optical coherence tomography. Biomedical Optics Express. 14(1). 194–194. 3 indexed citations

Xue, Xiaoming, Nan Zhang, Suqun Cao, et al.. (2020). New State Identification Method for Rotating Machinery under Variable Load Conditions Based on Hybrid Entropy Features and Joint Distribution Adaptation. Complexity. 2020. 1–17. 3 indexed citations

Xue, Xiaoming, et al.. (2019). Fault Diagnosis of Rolling Element Bearings with a Two-Step Scheme Based on Permutation Entropy and Random Forests. Entropy. 21(1). 96–96. 26 indexed citations

Cao, Suqun, et al.. (2015). A Fault Diagnosis Method Based on Semi - Supervised Fuzzy C - Means Cluster Analysis. International Journal on Cybernetics & Informatics. 4(2). 281–289. 3 indexed citations

Gao, Shangbing, et al.. (2015). Automatic Segmentation of Nature Object Using Salient Edge Points Based Active Contour. Mathematical Problems in Engineering. 2015. 1–12. 1 indexed citations

10.

Zhang, Hong & Suqun Cao. (2013). Fuzzy C-Means Clustering Algorithm Based Analysis Method for the Structure of Teachers in Local Engineering Colleges. International Journal of Digital Content Technology and its Applications. 7(3). 215–220. 2 indexed citations

11.

Cao, Suqun, et al.. (2013). An Improved Fuzzy Fisher Clustering Algorithm. International Journal of Advancements in Computing Technology. 5(1). 687–694.

12.

Zhu, Quanyin, Suqun Cao, Pei Zhou, & Yonghua Yin. (2013). Price Forecasting for Cell Phone Market Using Adaptive Sliding Window and Adaptive RBF NN. SHILAP Revista de lepidopterología. 7(4). 395–421. 1 indexed citations

13.

Cao, Suqun & Jonathan H. Manton. (2013). Unsupervised Optimal Discriminant Vector Based Feature Selection Method. Mathematical Problems in Engineering. 2013. 1–7. 1 indexed citations

14.

Zhu, Quanyin, et al.. (2012). A Novel RDB-SW Approach for Commodities Price Dynamic Trend Analysis Based on Web Mining. Journal of Digital Information Management. 10(4). 230–235. 3 indexed citations

15.

Cao, Suqun, et al.. (2011). Fuzzy Fisher Criterion based Edge Detection. International Journal of Digital Content Technology and its Applications. 5(8). 381–388. 3 indexed citations

16.

Wang, Hongyan, et al.. (2010). Web-Service-Based Design for Rural Industry by the Local e-Government. 23. 230–235. 4 indexed citations

17.

Cao, Suqun, Quanyin Zhu, & Zhiwei Hou. (2009). Customer Segmentation Based on a Novel Hierarchical Clustering Algorithm. 30. 1–5. 2 indexed citations

18.

Cao, Suqun. (2008). Semi-Supervised Learning Based Kernel Affinity Propagation Clustering Method.

19.

Cao, Suqun. (2008). Gene function analysis of semi-supervised multi-label learning. Caai Transactions on Intelligent Systems. 3 indexed citations

20.

Cao, Suqun, Shitong Wang, Quanyin Zhu, & Xiaofeng Chen. (2008). Unsupervised Optimal Discriminant Plane Based Feature Extraction Method. 22. 315–319. 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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