Sen Li

633 citations
28 papers · 330 · 1 hit paper · h-index 10

Impact in

Papers in

Sen Li

27 papers receiving 325 citations

Sen Li's Hit Papers

Explainable spatiotemporal multi-task learning for electric vehicle charging demand prediction 2025 · 39 citations
390Years since publication102030

Peers

Sen Li
Comparison fields: 5 of 54
  • Automotive Engineering 157
  • Transportation 46
  • Energy Engineering and Power Technology 13
  • Building and Construction 49
  • Marketing 33
Replace Clément Rames with:
Clément Rames United States
Yanchang Liang China
Huimiao Chen China
Xindi Tang China
Mohammadreza Kavianipour United States
Jaume Jordán Spain
Johannes Asamer Austria
Sen Li relative to Clément Rames United States Clément Rames's profile →
Citations per field
00.5×10×14.3×
Clément Rames · 1×
Citations per year

Countries citing papers authored by Sen Li

Since Specialization
Citations

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

Fields of papers citing papers by Sen Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Sen Li, 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 Sen Li Line = papers co-authored together Sen Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202452
2
Explainable spatiotemporal multi-task learning for electric vehicle charging demand prediction
Hit paper breakdown →
202539
3 202433
4 202230
5 202426
6 202325
7 202220
8 202415
9 202314
10 202411
11 20248
12 20226
13 20246
14 20246
15 20255
16 20255
17 20245
18 20245
19 20244
20 20234

About Sen Li

Sen Li is a scholar working on Automotive Engineering, Transportation, Electrical and Electronic Engineering, Marketing and Control and Systems Engineering, having authored 28 papers that have together received 330 indexed citations. Recurring topics across this work include Transportation and Mobility Innovations (22 papers), Transportation Planning and Optimization (11 papers), Electric Vehicles and Infrastructure (9 papers), Sharing Economy and Platforms (7 papers), Traffic control and management (3 papers), Smart Grid Energy Management (3 papers), Smart Parking Systems Research (2 papers) and Advanced Battery Technologies Research (2 papers). The work is most often cited by research in Automotive Engineering (157 citations), Transportation (46 citations), Energy Engineering and Power Technology (13 citations), Building and Construction (49 citations) and Marketing (33 citations). Sen Li has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Yitong Shang, Yang Li, Hai Yang, Yuanzheng Li, Mohammad Shahidehpour, Duo Li, Zhe Chen, Jintao Ke, Linni Jian and Ziyun Shao. Their work appears in journals such as Transportation Research Part C Emerging Technologies, IEEE Transactions on Intelligent Transportation Systems, Applied Energy, Transportation Research Part E Logistics and Transportation Review and Transportation Science.

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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