Bo Dong

2.6k citations
111 papers · 1.6k indexed · 1 hit paper · h-index 18
Topics
Cloud Computing and Resource Management (17 papers)Imbalanced Data Classification Techniques (16 papers)Topic Modeling (9 papers)

In The Last Decade

Bo Dong

103 papers receiving 1.4k citations

Hit Papers

FUSION20172026202020232017100200300

Peers

Bo Dong
Comparison fields: 5 of 156
  • Information Systems 552
  • Computer Networks and Communications 504
  • Artificial Intelligence 399
  • Computer Vision and Pattern Recognition 145
  • Education 120
Replace Ravi Sharma with:
Ravi Sharma New Zealand
Amirrudin Kamsin Malaysia
Praveen Ranjan Srivastava India
Fahima Hajjej Saudi Arabia
Giancarlo Sperlí Italy
Asadullah Shah Malaysia
Mutasem K. Alsmadi Saudi Arabia
Mira Kartiwi Malaysia
Nasser Alalwan Saudi Arabia
Hemant Jain United States
Bo Dong relative to Ravi Sharma New Zealand Ravi Sharma's profile →
Citations per field
00.5×1.5×2.2×
Ravi Sharma · 1×
Citations per year

Countries citing papers authored by Bo Dong

Since Specialization
Citations

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

Fields of papers citing papers by Bo Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bo Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Bo Dong. A scholar is included among the top collaborators of Bo 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 Bo Dong. Bo 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
#WorkIndexed citations
1 0
2 1
3 1
4 1
5 1
6 3
7 9
8 1
9 5
10 4
11 4
12 10
13 24
14 2
15 2
16 7
17
Explainability for Content-Based Image Retrieval
7
18 6
19 37
20
Research of Service Granularity Base on SOA in Railway Information Sharing Platform
1

About Bo Dong

Bo Dong is a scholar working on Computer Science Applications, Computational Mathematics and Artificial Intelligence, having authored 111 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (17 papers), Imbalanced Data Classification Techniques (16 papers) and Topic Modeling (9 papers). The work is most often cited by research in Information Systems (552 citations), Computer Networks and Communications (504 citations) and Computer Science Applications (112 citations). Bo Dong has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Qinghua Zheng, Latifur Khan, Swarup Chandra, Zhuoyi Wang, Ahsanul Haque, Kevin W. Hamlen, Feng Tian, J. F. Qiu, Haifei Li and Jie Yang. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Signal Processing 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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