Fang Dong

2.4k total citations
193 papers, 1.5k citations indexed

About

Fang Dong is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, Fang Dong has authored 193 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 126 papers in Computer Networks and Communications, 80 papers in Information Systems and 44 papers in Artificial Intelligence. Recurrent topics in Fang Dong's work include Cloud Computing and Resource Management (60 papers), IoT and Edge/Fog Computing (34 papers) and Distributed and Parallel Computing Systems (30 papers). Fang Dong is often cited by papers focused on Cloud Computing and Resource Management (60 papers), IoT and Edge/Fog Computing (34 papers) and Distributed and Parallel Computing Systems (30 papers). Fang Dong collaborates with scholars based in China, Australia and United Kingdom. Fang Dong's co-authors include Junzhou Luo, Aibo Song, Jun Shen, Jiahui Jin, Lijuan Wang, Jinghui Zhang, Runqun Xiong, Dian Shen, Junxue Zhang and Alister G. Burr and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Journal on Selected Areas in Communications.

In The Last Decade

Fang Dong

164 papers receiving 1.4k citations

Peers

Fang Dong
Comparison fields: 5 of 100
  • Computer Networks and Communications 951
  • Information Systems 703
  • Artificial Intelligence 383
  • Electrical and Electronic Engineering 225
  • Computer Vision and Pattern Recognition 143
Replace P. Dhavachelvan with:
P. Dhavachelvan India
Zhijun Ding China
Beniamino Di Martino Italy
Long Cheng China
Guiyi Wei China
Andrei Tchernykh Mexico
Stefan Schulte Austria
Valérie Issarny France
Valentin Cristea Romania
P. Dhavachelvan India View profile →
Citations per field, relative to Fang Dong
Fang Dong · 1×
Citations per year, relative to Fang Dong
Fang Dong · 1×

Countries citing papers authored by Fang Dong

Since Specialization
Citations

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

Fields of papers citing papers by Fang Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Dong. A scholar is included among the top collaborators of Fang Dong 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 Fang Dong. Fang Dong 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
# Work Indexed citations
1 0
2 1
3 1
4 0
5 4
6 0
7 0
8 2
9 3
10 25
11 20
12 2
13 2
14 1
15 3
16 1
17 1
18 1
19 18
20 1

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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