Hao Dong

1.1k total citations · 1 hit paper
32 papers, 399 citations indexed

About

Hao Dong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Hao Dong has authored 32 papers receiving a total of 399 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 5 papers in Computer Networks and Communications. Recurrent topics in Hao Dong's work include Topic Modeling (4 papers), Multimodal Machine Learning Applications (3 papers) and Mobile Ad Hoc Networks (3 papers). Hao Dong is often cited by papers focused on Topic Modeling (4 papers), Multimodal Machine Learning Applications (3 papers) and Mobile Ad Hoc Networks (3 papers). Hao Dong collaborates with scholars based in China, Japan and United States. Hao Dong's co-authors include Kouichi Sakurai, Xiang‐Bin Wang, Lixing You, Chi Zhang, Qiang Zhang, Yang Liu, Teng‐Yun Chen, Jian-Wei Pan, Jiu-Peng Chen and Jia-Min Xiong and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Applied Microbiology and Biotechnology.

In The Last Decade

Hao Dong

28 papers receiving 380 citations

Hit Papers

Experimental Twin-Field Quantum Key Distribution over 100... 2023 2026 2024 2025 2023 50 100 150

Peers

Hao Dong
Comparison fields: 5 of 85
  • Artificial Intelligence 228
  • Atomic and Molecular Physics, and Optics 154
  • Computer Vision and Pattern Recognition 69
  • Electrical and Electronic Engineering 68
  • Computer Networks and Communications 41
Replace Marcin Niemiec with:
Marcin Niemiec Poland
Alireza Shafaei United States
Miralem Mehić Czechia
Xiaojian Tian China
Duc Manh Nguyen South Korea
Dmytro Bondarenko Ukraine
James Saunderson Australia
Daesung Kwon South Korea
Marcin Niemiec Poland View profile →
Citations per field, relative to Hao Dong
Hao Dong · 1×
Citations per year, relative to Hao Dong
Hao Dong · 1×

Countries citing papers authored by Hao Dong

Since Specialization
Citations

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

Fields of papers citing papers by Hao Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Hao Dong. A scholar is included among the top collaborators of Hao 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 Hao Dong. Hao 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 0
3 2
4 0
5 8
6 4
7 15
8 19
9 5
10 18
11 4
12 9
13 10
14 12
15
Experimental Twin-Field Quantum Key Distribution over 1000 km Fiber Distance breakdown →
177
16 1
17 17
18
Study of Magnetotelluric Impedance Tensor Decomposition Under the Constraint of Analysis of Phase Tensor
1
19 16
20
Classification on attacks in wireless ad hoc networks: A game theoretic view
7

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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