Gansen Zhao

2.0k total citations
111 papers, 1.1k citations indexed

About

Gansen Zhao is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Gansen Zhao has authored 111 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 46 papers in Information Systems and 30 papers in Computer Networks and Communications. Recurrent topics in Gansen Zhao's work include Cryptography and Data Security (20 papers), Cloud Data Security Solutions (16 papers) and Blockchain Technology Applications and Security (16 papers). Gansen Zhao is often cited by papers focused on Cryptography and Data Security (20 papers), Cloud Data Security Solutions (16 papers) and Blockchain Technology Applications and Security (16 papers). Gansen Zhao collaborates with scholars based in China, Norway and Hong Kong. Gansen Zhao's co-authors include Chunming Rong, Martin Gilje Jaatun, Feng Zhang, Yong Tang, David Chadwick, Shuangyin Li, Guangzhi Qu, Jin Li, Xiaomao Fan and Libo Li and has published in prestigious journals such as Scientific Reports, Sensors and Information Sciences.

In The Last Decade

Gansen Zhao

102 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gansen Zhao China 19 513 439 303 152 95 111 1.1k
Yuichi Nakamura Japan 14 262 0.5× 577 1.3× 196 0.6× 113 0.7× 109 1.1× 65 1.3k
Carl Yang United States 21 435 0.8× 1.1k 2.5× 141 0.5× 240 1.6× 52 0.5× 130 1.6k
Mohammad Saniee Abadeh Iran 19 241 0.5× 946 2.2× 235 0.8× 190 1.3× 48 0.5× 98 1.5k
Haixuan Yang Ireland 13 993 1.9× 681 1.6× 263 0.9× 225 1.5× 78 0.8× 33 1.5k
Donghai Guan China 19 236 0.5× 523 1.2× 220 0.7× 389 2.6× 73 0.8× 87 1.1k
Miguel Angel Medina‐Pérez Mexico 17 224 0.4× 405 0.9× 151 0.5× 175 1.2× 20 0.2× 52 872
Mingzhong Wang China 15 263 0.5× 564 1.3× 302 1.0× 134 0.9× 50 0.5× 63 960
Narendra S. Chaudhari India 17 311 0.6× 470 1.1× 471 1.6× 166 1.1× 27 0.3× 171 1.1k
Xiaomei Yu China 16 378 0.7× 600 1.4× 199 0.7× 259 1.7× 58 0.6× 66 1.1k
Ying Xie China 15 317 0.6× 268 0.6× 285 0.9× 157 1.0× 32 0.3× 81 977

Countries citing papers authored by Gansen Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Gansen Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gansen Zhao

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

All Works

20 of 20 papers shown
1.
Fang, Jiawen, et al.. (2024). Privacy Protection Method for Blockchain Transactions Based on the Stealth Address and the Note Mechanism. Applied Sciences. 14(4). 1642–1642.
2.
Yin, Aihua, Jie‐Sheng Huang, Jing Peng, et al.. (2023). Performance evaluation of mainstream chromosome recognition algorithms under deep learning. Journal of Image and Graphics. 28(2). 570–588.
3.
Huang, Xinyi & Gansen Zhao. (2023). Web service recommendation based on knowledge graph enhanced. 21–21.
4.
Huang, Kaixin, et al.. (2023). KD_ConvNeXt: knowledge distillation-based image classification of lung tumor surgical specimen sections. Frontiers in Genetics. 14. 1254435–1254435. 3 indexed citations
5.
Li, Yujie, Xiaomao Fan, Xingxian Huang, et al.. (2022). A novel EEG-based major depressive disorder detection framework with two-stage feature selection. BMC Medical Informatics and Decision Making. 22(1). 209–209. 23 indexed citations
6.
Huang, Jie‐Sheng, Jing Peng, Li Guo, et al.. (2022). ChromosomeNet: A massive dataset enabling benchmarking and building basedlines of clinical chromosome classification. Computational Biology and Chemistry. 100. 107731–107731. 7 indexed citations
7.
Fan, Xiaomao, Xingxian Huang, Yang Zhao, et al.. (2022). Predicting Prognostic Effects of Acupuncture for Depression Using the Electroencephalogram. Evidence-based Complementary and Alternative Medicine. 2022. 1–10. 5 indexed citations
8.
Zhao, Gansen, et al.. (2021). A novel approach to diagnose sleep apnea using enhanced frequency extraction network. Computer Methods and Programs in Biomedicine. 206. 106119–106119. 16 indexed citations
9.
Yue, Huijun, Yu Lin, Yongquan Wang, et al.. (2021). Deep Learning for Diagnosis and Classification of Obstructive Sleep Apnea: A Nasal Airflow-Based Multi-Resolution Residual Network. Nature and Science of Sleep. Volume 13. 361–373. 24 indexed citations
10.
Cao, Yang, Hailiang Wang, Fen Miao, et al.. (2021). MDD-TSVM: A novel semisupervised-based method for major depressive disorder detection using electroencephalogram signals. Computers in Biology and Medicine. 140. 105039–105039. 14 indexed citations
11.
Zhao, Gansen, et al.. (2020). AS-PANet: a chromosome instance segmentation method based on improved path aggregation network architecture. Journal of Image and Graphics. 25(10). 2271–2280. 10 indexed citations
12.
Zhao, Gansen, Aihua Yin, Zhirong Yang, et al.. (2020). A novel chromosome cluster types identification method using ResNeXt WSL model. Medical Image Analysis. 69. 101943–101943. 20 indexed citations
13.
Ma, Zhaohui, et al.. (2017). Shikra: A Behavior-Based Android Malware Detection Framework. 175–184. 3 indexed citations
14.
Liu, Guangjian, Yi Xu, Xinming Wang, et al.. (2017). Developing a Machine Learning System for Identification of Severe Hand, Foot, and Mouth Disease from Electronic Medical Record Data. Scientific Reports. 7(1). 16341–16341. 15 indexed citations
15.
Zhao, Gansen, et al.. (2016). Large-scale topic community mining based on distributed nonnegative matrix factorization. Scientia Sinica Informationis. 46(6). 714–728. 1 indexed citations
16.
Zhao, Gansen, et al.. (2010). Modeling User Growth for Cloud Scalability and Availability. 網際網路技術學刊. 11(3). 395–405. 2 indexed citations
17.
Zhao, Gansen. (2010). A Temporal Extended Value Based Argumentation Framework. 1 indexed citations
18.
Jaatun, Martin Gilje, Gansen Zhao, & Chunming Rong. (2009). Cloud computing : first International Conference, CloudCom 2009, Beijing, China, December 1-4, 2009 : proceedings. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 13 indexed citations
19.
Zhao, Gansen, et al.. (2009). GI/M/1 Queue with Set-Up Period and Working Vacation and Vacation Interruption. 20(3). 351–363. 6 indexed citations
20.
Zhao, Gansen. (2009). Research on Privacy-Preserving Two-Party Collaborative Filtering Recommendation. Dianzi xuebao. 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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