Ting Lu

1.5k citations
70 papers · 1.2k · h-index 16

Impact in

Papers in

Ting Lu

61 papers receiving 1.2k citations

Peers

Ting Lu
Comparison fields: 5 of 93
  • Control and Systems Engineering 404
  • Electrical and Electronic Engineering 836
  • Management Science and Operations Research 171
  • Statistics and Probability 78
  • Energy Engineering and Power Technology 17
Replace Pierre‐Etienne Labeau with:
Pierre‐Etienne Labeau Belgium
Jiarong Shi China
Xiaoyan Liu China
Antonello Rosato Italy
Ying-Pin Chang Taiwan
Xiaolong Wu China
Yanjun Yan United States
Benoît Delinchant France
A. Ikonomopoulos Greece
Jeng‐Wen Lin Taiwan
Ting Lu relative to Pierre‐Etienne Labeau Belgium Pierre‐Etienne Labeau's profile →
Citations per field
00.5×4.0×
Pierre‐Etienne Labeau · 1×
Citations per year

Countries citing papers authored by Ting Lu

Since Specialization
Citations

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

Fields of papers citing papers by Ting Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011175
2 2014145
3 2011101
4 201494
5 200788
6 201481
7 201459
8 201454
9 201348
10 200746
11 201833
12 201233
13 201427
14 202221
15 201017
16 200716
17 202212
18 201512
19 201012
20 201411

About Ting Lu

Ting Lu is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Computer Networks and Communications and Mechanical Engineering, having authored 70 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multilevel Inverters and Converters (27 papers), Silicon Carbide Semiconductor Technologies (26 papers), Advanced DC-DC Converters (21 papers), Microgrid Control and Optimization (9 papers), HVDC Systems and Fault Protection (8 papers), Target Tracking and Data Fusion in Sensor Networks (7 papers), Induction Heating and Inverter Technology (5 papers) and Distributed Sensor Networks and Detection Algorithms (4 papers). The work is most often cited by research in Control and Systems Engineering (404 citations), Electrical and Electronic Engineering (836 citations), Management Science and Operations Research (171 citations), Statistics and Probability (78 citations) and Energy Engineering and Power Technology (17 citations). Ting Lu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Zhengming Zhao, Liqiang Yuan, Dejian Yu, Yingyu Wu, Shiqi Ji, Mónica F. Bugallo, Petar M. Djurić, Kainan Chen, Hongwei Gao and Fanbo He. Their work appears in journals such as IEEE Transactions on Power Electronics, IEEE Transactions on Industry Applications, IEEE Transactions on Aerospace and Electronic Systems, Knowledge-Based Systems and Psychotherapy.

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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