Fangyu Gai

603 total citations
17 papers, 246 citations indexed

About

Fangyu Gai is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Fangyu Gai has authored 17 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 13 papers in Computer Networks and Communications and 5 papers in Artificial Intelligence. Recurrent topics in Fangyu Gai's work include Blockchain Technology Applications and Security (12 papers), Distributed systems and fault tolerance (9 papers) and IoT and Edge/Fog Computing (4 papers). Fangyu Gai is often cited by papers focused on Blockchain Technology Applications and Security (12 papers), Distributed systems and fault tolerance (9 papers) and IoT and Edge/Fog Computing (4 papers). Fangyu Gai collaborates with scholars based in Canada, China and United States. Fangyu Gai's co-authors include Dongxing Li, Wei Peng, Wenping Deng, Jianyu Niu, Chen Feng, Xinwen Jiang, Jiexin Zhang, Peidong Zhu, Ivan Beschastnikh and Ziyu Wang and has published in prestigious journals such as IEEE Internet of Things Journal, IEEE Transactions on Dependable and Secure Computing and Wireless Communications and Mobile Computing.

In The Last Decade

Fangyu Gai

17 papers receiving 242 citations

Peers

Fangyu Gai

IS

CNC

AI

EEE

SP

Mao‐Lun Chiang Taiwan

Haomeng Xie China

Julio César Santos dos Anjos Brazil

Farzad Sabahi Iran

Jianyu Niu Canada

Olivier Alphand France

Dirk Henrici Germany

Frank Cangialosi United States

Mahender Kumar India

Sachin D. Babar India

Mao‐Lun Chiang Taiwan

Fangyu Gai

179 ×0.9

IS

209 ×1.3

CNC

58 ×1.1

AI

37 ×1.3

EEE

21 ×1.2

SP

Citations per year, relative to Fangyu Gai Fangyu Gai (= 1×) peers Mao‐Lun Chiang

Countries citing papers authored by Fangyu Gai

Since Specialization

Citations

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

Fields of papers citing papers by Fangyu Gai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fangyu Gai

This figure shows the co-authorship network connecting the top 25 collaborators of Fangyu Gai. A scholar is included among the top collaborators of Fangyu Gai 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 Fangyu Gai. Fangyu Gai 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:

17 of 17 papers shown

1.

Wang, Minjie, et al.. (2025). Chained HotStuff Under Performance Attack. IEEE Transactions on Dependable and Secure Computing. 22(4). 3737–3750. 1 indexed citations

2.

Gai, Fangyu, et al.. (2023). A Secure Sidechain for Decentralized Trading in Internet of Things. IEEE Internet of Things Journal. 11(3). 4029–4046. 7 indexed citations

3.

Niu, Jianyu, et al.. (2023). Fast-HotStuff: A Fast and Robust BFT Protocol for Blockchains. IEEE Transactions on Dependable and Secure Computing. 21(4). 2478–2493. 17 indexed citations

4.

Tse, David, et al.. (2023). Bitcoin-Enhanced Proof-of-Stake Security: Possibilities and Impossibilities. 126–145. 7 indexed citations

5.

Gai, Fangyu, Jianyu Niu, Ivan Beschastnikh, Chen Feng, & Sheng Wang. (2023). Scaling Blockchain Consensus via a Robust Shared Mempool. 530–543. 5 indexed citations

6.

Niu, Jianyu, et al.. (2022). Crystal: Enhancing Blockchain Mining Transparency With Quorum Certificate. IEEE Transactions on Dependable and Secure Computing. 20(5). 4154–4168. 1 indexed citations

7.

Yang, Xinying, Sheng Wang, Feifei Li, et al.. (2022). Ubiquitous Verification in Centralized Ledger Database. 2022 IEEE 38th International Conference on Data Engineering (ICDE). 1808–1821. 22 indexed citations

8.

Gai, Fangyu, et al.. (2021). Dissecting the Performance of Chained-BFT. 595–606. 13 indexed citations

9.

Niu, Jianyu, et al.. (2021). Publish or Perish: Defending Withholding Attack in Dfinity Consensus. 404–411. 1 indexed citations

10.

Gai, Fangyu, et al.. (2021). Cumulus: A Secure BFT-based Sidechain for Off-chain Scaling. 1–6. 8 indexed citations

11.

Niu, Jianyu, et al.. (2021). On the Performance of Pipelined HotStuff. 1–10. 17 indexed citations

12.

Niu, Jianyu, Ziyu Wang, Fangyu Gai, & Chen Feng. (2021). Incentive Analysis of Bitcoin-NG, Revisited. ACM SIGMETRICS Performance Evaluation Review. 48(3). 59–60. 4 indexed citations

13.

Niu, Jianyu, Ziyu Wang, Fangyu Gai, & Chen Feng. (2020). Incentive analysis of Bitcoin-NG, revisited. Performance Evaluation. 144. 102144–102144. 6 indexed citations

14.

Li, Dongxing, Wei Peng, Wenping Deng, & Fangyu Gai. (2018). A Blockchain-Based Authentication and Security Mechanism for IoT. 1–6. 111 indexed citations

15.

Wang, Jingyuan, et al.. (2018). Pangr: A Behavior-Based Automatic Vulnerability Detection and Exploitation Framework. 705–712. 4 indexed citations

16.

Gai, Fangyu, Jiexin Zhang, Peidong Zhu, & Xinwen Jiang. (2017). Trust on the Ratee: A Trust Management System for Social Internet of Vehicles. Wireless Communications and Mobile Computing. 2017. 1–11. 21 indexed citations

17.

Zhang, Liang, et al.. (2013). The design and implementation of the kernel level mobile storage medium data protection system. 53–57. 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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