Ting Lu

697 citations
32 papers · 500 · h-index 13

Impact in

Papers in

Ting Lu

28 papers receiving 469 citations

Peers

Ting Lu
Comparison fields: 5 of 73
  • Computer Networks and Communications 273
  • Management of Technology and Innovation 57
  • Industrial and Manufacturing Engineering 53
  • Electrical and Electronic Engineering 176
  • Management Science and Operations Research 29
Replace Lu Zhao with:
Lu Zhao China
Caifeng Zou China
Chen-Wei Yang Sweden
Hu Cai China
Nerea Toledo Spain
Georg Neugschwandtner Austria
Vivek Deshpande India
Wenfeng Li China
Vasiliy Krundyshev Russia
Mihnea Alexandru Moisescu Romania
Ting Lu relative to Lu Zhao China Lu Zhao's profile →
Citations per field
00.5×10×20×30×42×
Lu Zhao · 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 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201280
2 201970
3 201352
4 201342
5 201742
6 201230
7 201629
8 202220
9 201819
10 202015
11 202215
12 201615
13 202215
14 202012
15 201410
16 20247
17 20165
18 20244
19 20213
20 20213

About Ting Lu

Ting Lu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Artificial Intelligence, Biomedical Engineering and Molecular Biology, having authored 32 papers that have together received 500 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (9 papers), Mobile Ad Hoc Networks (6 papers), Wireless Body Area Networks (4 papers), Energy Harvesting in Wireless Networks (4 papers), Molecular Communication and Nanonetworks (4 papers), Advanced Battery Technologies Research (3 papers), IoT and Edge/Fog Computing (3 papers) and Advancements in Battery Materials (3 papers). The work is most often cited by research in Computer Networks and Communications (273 citations), Management of Technology and Innovation (57 citations), Industrial and Manufacturing Engineering (53 citations), Electrical and Electronic Engineering (176 citations) and Management Science and Operations Research (29 citations). Ting Lu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Jie Zhu, Shan Chang, Wenjing Guo, Tao Yao, Qing Yang, Cairong Yan, Guohua Liu, Wei Li, Bo Zhang and Bo Zhang. Their work appears in journals such as Wireless Networks, IEEE Communications Letters, Cancer Letters, IEEE Transactions on Vehicular Technology and Journal of Forensic Nursing.

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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