Pingcheng Ruan

647 total citations
12 papers, 369 citations indexed

About

Pingcheng Ruan is a scholar working on Information Systems, Computer Networks and Communications and Information Systems and Management. According to data from OpenAlex, Pingcheng Ruan has authored 12 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Information Systems, 7 papers in Computer Networks and Communications and 3 papers in Information Systems and Management. Recurrent topics in Pingcheng Ruan's work include Blockchain Technology Applications and Security (9 papers), Cloud Computing and Resource Management (5 papers) and Distributed systems and fault tolerance (4 papers). Pingcheng Ruan is often cited by papers focused on Blockchain Technology Applications and Security (9 papers), Cloud Computing and Resource Management (5 papers) and Distributed systems and fault tolerance (4 papers). Pingcheng Ruan collaborates with scholars based in Singapore, China and United States. Pingcheng Ruan's co-authors include Beng Chin Ooi, Meihui Zhang, Tien Tuan Anh Dinh, Qian Lin, Dumitrel Loghin, Gang Chen, Gang Chen, Quang-Trung Ta, Zhongle Xie and Qingchao Cai and has published in prestigious journals such as Proceedings of the VLDB Endowment, ACM SIGMOD Record and The VLDB Journal.

In The Last Decade

Pingcheng Ruan

12 papers receiving 361 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pingcheng Ruan Singapore 8 322 219 100 29 25 12 369
Nelson Mimura Gonzalez Brazil 8 305 0.9× 174 0.8× 144 1.4× 12 0.4× 33 1.3× 24 391
Paul Anderson United Kingdom 9 256 0.8× 165 0.8× 151 1.5× 52 1.8× 16 0.6× 38 402
Jeff Tian United States 11 320 1.0× 108 0.5× 60 0.6× 13 0.4× 12 0.5× 35 414
Janaka Balasooriya United States 6 277 0.9× 244 1.1× 67 0.7× 25 0.9× 24 1.0× 18 353
Jianqing Fu China 5 207 0.6× 148 0.7× 73 0.7× 10 0.3× 16 0.6× 9 263
Mike Amundsen Switzerland 5 185 0.6× 221 1.0× 85 0.8× 8 0.3× 27 1.1× 8 307
Nilton Bila United States 12 302 0.9× 314 1.4× 45 0.5× 24 0.8× 36 1.4× 23 409
E. Ilavarasan India 8 180 0.6× 188 0.9× 88 0.9× 19 0.7× 9 0.4× 38 293
Rasib Khan United States 10 190 0.6× 188 0.9× 76 0.8× 29 1.0× 37 1.5× 29 295

Countries citing papers authored by Pingcheng Ruan

Since Specialization
Citations

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

Fields of papers citing papers by Pingcheng Ruan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pingcheng Ruan

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

All Works

12 of 12 papers shown
1.
Ruan, Pingcheng, Yaron Kanza, Beng Chin Ooi, & Divesh Srivastava. (2022). LedgerView: Access-Control Views on Hyperledger Fabric. Proceedings of the 2022 International Conference on Management of Data. 2218–2231. 9 indexed citations
2.
Loghin, Dumitrel, et al.. (2022). Hybrid blockchain database systems. Proceedings of the VLDB Endowment. 15(5). 1092–1104. 36 indexed citations
3.
Ruan, Pingcheng, Tien Tuan Anh Dinh, Dumitrel Loghin, Meihui Zhang, & Gang Chen. (2022). Blockchains. 5 indexed citations
4.
Ruan, Pingcheng, Tien Tuan Anh Dinh, Dumitrel Loghin, et al.. (2021). Blockchains vs. Distributed Databases. 1504–1517. 42 indexed citations
5.
Ruan, Pingcheng, Tien Tuan Anh Dinh, Qian Lin, et al.. (2021). LineageChain: a fine-grained, secure and efficient data provenance system for blockchains. The VLDB Journal. 30(1). 3–24. 25 indexed citations
6.
Ruan, Pingcheng, Tien Tuan Anh Dinh, Qian Lin, et al.. (2020). Revealing Every Story of Data in Blockchain Systems. ACM SIGMOD Record. 49(1). 70–77. 16 indexed citations
7.
Lin, Qian, Kaiyuan Yang, Tien Tuan Anh Dinh, et al.. (2020). ForkBase: Immutable, Tamper-evident Storage Substrate for Branchable Applications. 1718–1721. 4 indexed citations
8.
Ruan, Pingcheng, Dumitrel Loghin, Quang-Trung Ta, et al.. (2020). A Transactional Perspective on Execute-order-validate Blockchains. 543–557. 61 indexed citations
9.
Ruan, Pingcheng, Gang Chen, Tien Tuan Anh Dinh, et al.. (2019). Fine-grained, secure and efficient data provenance on blockchain systems. Proceedings of the VLDB Endowment. 12(9). 975–988. 93 indexed citations
10.
Ruan, Pingcheng, Gang Chen, Tien Tuan Anh Dinh, et al.. (2019). Blockchains and Distributed Databases: a Twin Study.. 3 indexed citations
11.
Wang, Sheng, Tien Tuan Anh Dinh, Qian Lin, et al.. (2018). Forkbase. Proceedings of the VLDB Endowment. 11(10). 1137–1150. 68 indexed citations
12.
Wang, Zhaoxia, et al.. (2016). Lexicon Knowledge Extraction with Sentiment Polarity Computation. 89. 978–983. 7 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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