Tu Lan

505 citations
20 papers · 358 · h-index 7

Impact in

Papers in

Tu Lan

17 papers receiving 345 citations

Peers

Tu Lan
Comparison fields: 5 of 44
  • Electrical and Electronic Engineering 299
  • Energy Engineering and Power Technology 14
  • Computational Mathematics 2
  • Control and Systems Engineering 71
  • Polymers and Plastics 37
Replace Yanting Hu with:
Yanting Hu United Kingdom
M. Ramesh Babu India
Md. Zahid Hossain Bangladesh
Hao Yue China
Jawad Saleem Pakistan
Xiaopeng Zhang China
Iskandar Yahya Malaysia
Muhammad Zubair Iftikhar Pakistan
Shuma Adhikari India
Yun-Ho Jeong South Korea
Tu Lan relative to Yanting Hu United Kingdom Yanting Hu's profile →
Citations per field
00.5×1.5×2.2×
Yanting Hu · 1×
Citations per year

Countries citing papers authored by Tu Lan

Since Specialization
Citations

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

Fields of papers citing papers by Tu Lan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2017161
2 202072
3 202037
4 200833
5 202012
6 20239
7 20207
8 20236
9 20124
10 20214
11 20243
12 20242
13 20112
14 20162
15 20241
16 20251
17 20241
18 20231
19 20250
20 20240

About Tu Lan

Tu Lan is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Automotive Engineering, Social Psychology and Safety, Risk, Reliability and Quality, having authored 20 papers that have together received 358 indexed citations. Recurring topics across this work include Power System Optimization and Stability (5 papers), Optimal Power Flow Distribution (5 papers), Advanced Battery Technologies Research (3 papers), Advanced Battery Materials and Technologies (3 papers), Advancements in Battery Materials (3 papers), Color perception and design (2 papers), Smart Grid Energy Management (2 papers) and Power System Reliability and Maintenance (2 papers). The work is most often cited by research in Electrical and Electronic Engineering (299 citations), Energy Engineering and Power Technology (14 citations), Computational Mathematics (2 citations), Control and Systems Engineering (71 citations) and Polymers and Plastics (37 citations). Tu Lan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zhiwei Wang, Ruisheng Diao, Di Shi, Xinran Wang, Wei Lan, Jianbin Xu, Linglong Zhang, Wei Ji, Yabing Qi and Yang Chai. Their work appears in journals such as Science Advances, Journal of Colloid and Interface Science, IEEE Transactions on Industry Applications, Materials and IEEE Transactions on Transportation Electrification.

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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