Dong Mo

25 papers receiving 602 citations

Peers

Dong Mo
Comparison fields: 5 of 46
  • Transportation 140
  • Automotive Engineering 236
  • Marketing 177
  • Computer Networks and Communications 278
  • Management Science and Operations Research 72
Replace Zhixuan Fang with:
Zhixuan Fang China
Daniel Freund United States
Wang Chi Cheung Singapore
Juong-Sik Lee United States
Eduardo C. Xavier Brazil
Qingpeng Cai China
Jian-Ya Ding China
Sébastien Martin United States
Leyla Kazemi United States
Jiongjiong Song China
Dong Mo relative to Zhixuan Fang China Zhixuan Fang's profile →
Citations per field
00.5×9.7×
Zhixuan Fang · 1×
Citations per year

Countries citing papers authored by Dong Mo

Since Specialization
Citations

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

Fields of papers citing papers by Dong Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dong Mo, 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 Dong Mo Line = papers co-authored together Dong Mo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1
{PCC} Vivace: Online-Learning Congestion Control
2018128
2 201286
3 202058
4 202156
5 201554
6 202235
7 201526
8 202123
9 202320
10 201420
11 202217
12 202414
13
Asymptotically Optimal Scenario Analysis and Wait-and-See Model for Optimal Power Flow With Wind Power
201213
14 201412
15 202311
16 202310
17 20248
18 20236
19 20175
20 20244

About Dong Mo

Dong Mo is a scholar working on Automotive Engineering, Marketing, Transportation, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 26 papers that have together received 614 indexed citations. Recurring topics across this work include Transportation and Mobility Innovations (15 papers), Sharing Economy and Platforms (13 papers), Transportation Planning and Optimization (9 papers), Software-Defined Networks and 5G (5 papers), Electric Vehicles and Infrastructure (3 papers), Network Traffic and Congestion Control (3 papers), Advanced Optical Network Technologies (2 papers) and Cloud Computing and Resource Management (2 papers). The work is most often cited by research in Transportation (140 citations), Automotive Engineering (236 citations), Marketing (177 citations), Computer Networks and Communications (278 citations) and Management Science and Operations Research (72 citations). Dong Mo has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiqun Chen, P. Brighten Godfrey, Xinbing Wang, Gaofei Sun, Qian Zhang, Doron Zarchy, Michael Schapira, Yossi Gilad, Sangeetha Abdu Jyothi and Engin Arslan. Their work appears in journals such as Transportation Research Part E Logistics and Transportation Review, Transportation Research Part C Emerging Technologies, Transportation Research Part B Methodological, Transportation Research Part F Traffic Psychology and Behaviour and Journal of Advanced Transportation.

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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