Hong‐Ning Dai

19.1k citations
257 papers · 12.2k indexed · 9 hit papers · h-index 44
Topics
Blockchain Technology Applications and Security (54 papers)IoT and Edge/Fog Computing (33 papers)Privacy-Preserving Technologies in Data (30 papers)
Partner nations
ChinaMacaoHong Kong

In The Last Decade

Hong‐Ning Dai

228 papers receiving 11.7k citations

Hit Papers

An Overview of Blockchain Technology: Architecture, Conse...20172026202020232017201820182019201750010001.5k2.0k

Peers

Hong‐Ning Dai
Comparison fields: 5 of 156
  • Information Systems 7.3k
  • Computer Networks and Communications 4.7k
  • Artificial Intelligence 2.9k
  • Electrical and Electronic Engineering 2.1k
  • Management Information Systems 1.2k
Replace Ibrar Yaqoob with:
Ibrar Yaqoob United Arab Emirates
Khaled Salah United Arab Emirates
Samee U. Khan United States
Sudeep Tanwar India
Victor Chang United Kingdom
Meikang Qiu United States
Abdullah Gani Malaysia
Jinjun Chen Australia
Rajiv Ranjan Australia
Nima Jafari Navimipour Iran
Hong‐Ning Dai relative to Ibrar Yaqoob United Arab Emirates Ibrar Yaqoob's profile →
Citations per field
00.5×1.5×1.8×
Ibrar Yaqoob · 1×
Citations per year

Countries citing papers authored by Hong‐Ning Dai

Since Specialization
Citations

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

Fields of papers citing papers by Hong‐Ning Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong‐Ning Dai. 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 Hong‐Ning Dai. The network helps show where Hong‐Ning Dai may publish in the future.

Co-authorship network of co-authors of Hong‐Ning Dai

This figure shows the co-authorship network connecting the top 25 collaborators of Hong‐Ning Dai. A scholar is included among the top collaborators of Hong‐Ning Dai 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 Hong‐Ning Dai. Hong‐Ning Dai 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
#WorkIndexed citations
1 0
2 1
3 0
4 4
5 1
6 1
7 3
8 4
9 7
10 1
11 13
12 2
13 6
14 7
15 36
16 115
17 18
18 71
19 111
20 68

About Hong‐Ning Dai

Hong‐Ning Dai is a scholar working on Computer Networks and Communications, Computational Mathematics and Information Systems, having authored 257 papers that have together received 12.2k indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (54 papers), IoT and Edge/Fog Computing (33 papers) and Privacy-Preserving Technologies in Data (30 papers). The work is most often cited by research in Information Systems (7.3k citations), Computer Networks and Communications (4.7k citations) and Management Information Systems (1.2k citations). Hong‐Ning Dai has collaborated with scholars based in China, Macao and Hong Kong. Frequent co-authors include Zibin Zheng, Shaoan Xie, Xiangping Chen, Huaimin Wang, Siyu Xie, Xiangping Chen, Huaimin Wang, Hao Wang, Muhammad Imran and Yulei Wu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Communications Surveys & Tutorials and Expert Systems with Applications.

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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