Dengji Zhao

443 citations
22 papers · 133 indexed · h-index 7

Dengji Zhao

17 papers receiving 129 citations

Peers

Dengji Zhao
Comparison fields: 5 of 31
  • Management Science and Operations Research 55
  • Marketing 40
  • Computer Science Applications 19
  • Automotive Engineering 42
  • Biophysics 12
Replace Thodoris Lykouris with:
Thodoris Lykouris United States
Siyu Wang China
Fachrul Kurniawan Indonesia
Xi He China
Olamilekan Shobayo United Kingdom
Ziyi Wang China
Kevin Spieser United States
Francisco Castro United States
Akash Nanavati United States
Yuta Saito United States
Dengji Zhao relative to Thodoris Lykouris United States Thodoris Lykouris's profile →
Citations per field
00.5×3.8×
Thodoris Lykouris · 1×
Citations per year

Countries citing papers authored by Dengji Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Dengji Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Dengji Zhao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dengji Zhao Line = papers co-authored together Dengji Zhao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20242
4 20240
5 20232
6 20230
7 20220
8 20221
9 20217
10 20201
11 20205
12 20191
13 20188
14 20188
15 201725
16
A polynomial time optimal algorithm for robot-human search under uncertainty
20162
17 20161
18 201514
19 201420
20 201333

About Dengji Zhao

Dengji Zhao is a scholar working on Management Science and Operations Research, Marketing and Computer Science Applications, having authored 22 papers that have together received 133 indexed citations. Recurring topics across this work include Auction Theory and Applications (13 papers), Game Theory and Applications (6 papers), Consumer Market Behavior and Pricing (6 papers), Game Theory and Voting Systems (4 papers), Supply Chain and Inventory Management (3 papers), Blockchain Technology Applications and Security (3 papers), Mobile Crowdsensing and Crowdsourcing (3 papers) and Sharing Economy and Platforms (2 papers). The work is most often cited by research in Management Science and Operations Research (55 citations), Marketing (40 citations) and Computer Science Applications (19 citations). Dengji Zhao has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Dong Hao, Bin Li, Enrico Gerding, Nicholas R. Jennings, Sebastian Stein, Valentin Robu, Dongmo Zhang, Makoto Yokoo, Yuko Sakurai and Zhihua Xiong. Their work appears in journals such as Artificial Intelligence, IEEE Access, Autonomous Agents and Multi-Agent Systems, International Journal of Optomechatronics and Adaptive Agents and Multi-Agents Systems.

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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