Hai Lan

2.5k citations
94 papers · 1.9k · h-index 20

Impact in

Papers in

Hai Lan

85 papers receiving 1.9k citations

Peers

Hai Lan
Comparison fields: 5 of 77
  • Energy Engineering and Power Technology 703
  • Environmental Engineering 621
  • Automotive Engineering 299
  • Electrical and Electronic Engineering 1.1k
  • Control and Systems Engineering 420
Replace Shuli Wen with:
Shuli Wen China
Peng Hou Denmark
Dongran Song China
Ibrahim El‐Amin Saudi Arabia
Pericles Pilidis United Kingdom
Francisco González-Longatt United Kingdom
Shuang Han China
Pier Ruggero Spina Italy
Dennice F. Gayme United States
Mauro Venturini Italy
Hai Lan relative to Shuli Wen China Shuli Wen's profile →
Citations per field
00.5×1.5×2.1×
Shuli Wen · 1×
Citations per year

Countries citing papers authored by Hai Lan

Since Specialization
Citations

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

Fields of papers citing papers by Hai Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 94 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015319
2 2014214
3 2016109
4 201997
5 201596
6 201795
7 201684
8 201967
9 200266
10 201959
11 201758
12 201646
13 200742
14 201039
15 200838
16 200834
17 201531
18 201525
19 202020
20 201520

About Hai Lan

Hai Lan is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Energy Engineering and Power Technology, Environmental Engineering and Automotive Engineering, having authored 94 papers that have together received 1.9k indexed citations. Recurring topics across this work include Maritime Transport Emissions and Efficiency (19 papers), Hybrid Renewable Energy Systems (17 papers), Electromagnetic Compatibility and Noise Suppression (14 papers), Microgrid Control and Optimization (9 papers), Advanced Algorithms and Applications (8 papers), Electric Vehicles and Infrastructure (8 papers), 3D IC and TSV technologies (7 papers) and Low-power high-performance VLSI design (7 papers). The work is most often cited by research in Energy Engineering and Power Technology (703 citations), Environmental Engineering (621 citations), Automotive Engineering (299 citations), Electrical and Electronic Engineering (1.1k citations) and Control and Systems Engineering (420 citations). Hai Lan has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Shuli Wen, David C. Yu, Ying‐Yi Hong, Lijun Zhang, Qiang Fu, Lijun Zhang, Peng Cheng, Lijun Zhang, J. A. Drallmeier and Andreas Weisshaar. Their work appears in journals such as Energies, Applied Energy, Energy, IEEE Transactions on Transportation Electrification and Journal of Fluids Engineering.

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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