Na Shi

11 total papers · 738 total citations
8 papers, 542 citations indexed

About

Na Shi is a scholar working on Information Systems, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Na Shi has authored 8 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Information Systems, 6 papers in Artificial Intelligence and 2 papers in Computer Networks and Communications. Recurrent topics in Na Shi's work include Blockchain Technology Applications and Security (7 papers), Privacy-Preserving Technologies in Data (6 papers) and Cryptography and Data Security (4 papers). Na Shi is often cited by papers focused on Blockchain Technology Applications and Security (7 papers), Privacy-Preserving Technologies in Data (6 papers) and Cryptography and Data Security (4 papers). Na Shi collaborates with scholars based in China, Japan and United States. Na Shi's co-authors include Liang Tan, Keping Yu, Caixia Yang, Wei Wei, Huimin Lu, Bolei Xu, Yang Cao, Yaser Jararweh, Moayad Aloqaily and Xin Qi and has published in prestigious journals such as IEEE Access, IEEE Transactions on Network Science and Engineering and ACM Transactions on Internet Technology.

In The Last Decade

Na Shi

7 papers receiving 508 citations

Hit Papers

Towards Secure and Privac... 2021 2026 2022 2024 2021 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Na Shi 368 228 217 105 65 8 542
Elham Hassanain 327 0.9× 106 0.5× 323 1.5× 69 0.7× 55 0.8× 10 517
Junjie Pang 207 0.6× 194 0.9× 229 1.1× 50 0.5× 39 0.6× 21 505
Kwame Opuni-Boachie Obour Agyekum 375 1.0× 206 0.9× 224 1.0× 113 1.1× 58 0.9× 24 528
Yan Qiang 260 0.7× 458 2.0× 115 0.5× 58 0.6× 38 0.6× 11 590
Jayneel Vora 346 0.9× 110 0.5× 343 1.6× 120 1.1× 78 1.2× 19 581
Da Zhu 142 0.4× 138 0.6× 224 1.0× 98 0.9× 74 1.1× 8 492
Ahsan Manzoor 339 0.9× 141 0.6× 262 1.2× 53 0.5× 40 0.6× 13 476
Chibueze P. Anyigor Ogah 391 1.1× 155 0.7× 311 1.4× 267 2.5× 41 0.6× 6 605
Zhaoyang Han 217 0.6× 209 0.9× 200 0.9× 127 1.2× 60 0.9× 20 520
Darshan Vishwasrao Medhane 196 0.5× 165 0.7× 242 1.1× 81 0.8× 56 0.9× 14 491

Countries citing papers authored by Na Shi

Since Specialization
Citations

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

Fields of papers citing papers by Na Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Shi

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

All Works

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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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