Mao Tan

1.3k citations
56 papers · 853 · h-index 15

Impact in

Papers in

Mao Tan

51 papers receiving 820 citations

Peers

Mao Tan
Comparison fields: 5 of 69
  • Energy Engineering and Power Technology 46
  • Electrical and Electronic Engineering 623
  • Management Science and Operations Research 103
  • Automotive Engineering 90
  • Control and Systems Engineering 172
Replace Yongxin Su with:
Yongxin Su China
Mohamed Massaoudi Qatar
Nalin Behari Dev Choudhury India
Ariel Liebman Australia
Fakhreddine S. Oueslati Tunisia
Hongze Li China
Abdulaziz Almalaq Saudi Arabia
Xiangyu Kong China
Ioannis P. Panapakidis Greece
Mao Tan relative to Yongxin Su China Yongxin Su's profile →
Citations per field
00.5×1.5×1.8×
Yongxin Su · 1×
Citations per year

Countries citing papers authored by Mao Tan

Since Specialization
Citations

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

Fields of papers citing papers by Mao Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019240
2 201970
3 202358
4 202253
5 202036
6 202334
7 202233
8 202227
9 202124
10 202023
11 201819
12 201918
13 201617
14 202315
15 201814
16 202412
17 201712
18 202411
19 20249
20 20179

About Mao Tan

Mao Tan is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Automotive Engineering and Building and Construction, having authored 56 papers that have together received 853 indexed citations. Recurring topics across this work include Smart Grid Energy Management (25 papers), Energy Load and Power Forecasting (15 papers), Electric Vehicles and Infrastructure (8 papers), Microgrid Control and Optimization (6 papers), Electric Power System Optimization (6 papers), Advanced Battery Technologies Research (5 papers), Grey System Theory Applications (5 papers) and Energy Efficiency and Management (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (46 citations), Electrical and Electronic Engineering (623 citations), Management Science and Operations Research (103 citations), Automotive Engineering (90 citations) and Control and Systems Engineering (172 citations). Mao Tan has collaborated with scholars based in China, United Kingdom and Singapore. Frequent co-authors include Yongxin Su, Ling Wang, Shuaihu Li, Feng He, Hui Li, Rui Wang, Jie Chen, Chenglin Hu, Zhengmao Li and Bin Duan. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Applied Energy, IEEE Transactions on Instrumentation and Measurement, Ore Geology Reviews and Renewable Energy.

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.

Explore authors with similar magnitude of impact