Dingnan Lu

26 papers receiving 712 citations

Peers

Dingnan Lu
Comparison fields: 5 of 79
  • Environmental Chemistry 276
  • Electrochemistry 90
  • Health, Toxicology and Mutagenesis 157
  • Industrial and Manufacturing Engineering 71
  • Bioengineering 40
Replace Leilei Wang with:
Leilei Wang China
Rabindra Raj Giri Japan
Tae‐Hun Kim South Korea
Rodolfo J. Brandi Argentina
Xiujun Tian China
Jonathan G. Pressman United States
Thi Minh Hong Nguyen Australia
Rachel H. Waldemer United States
David G. Wahman United States
Dingnan Lu relative to Leilei Wang China Leilei Wang's profile →
Citations per field
00.5×3.6×
Leilei Wang · 1×
Citations per year

Countries citing papers authored by Dingnan Lu

Since Specialization
Citations

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

Fields of papers citing papers by Dingnan Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019211
2 202093
3 202167
4 202350
5 202241
6 202035
7 202134
8 201934
9 202033
10 202131
11 201625
12 201815
13 202410
14 20219
15 20237
16 20216
17 20206
18 20226
19 20234
20 20244

About Dingnan Lu

Dingnan Lu is a scholar working on Electrochemistry, Environmental Chemistry, Water Science and Technology, Bioengineering and Industrial and Manufacturing Engineering, having authored 30 papers that have together received 730 indexed citations. Recurring topics across this work include Electrochemical Analysis and Applications (6 papers), Advanced biosensing and bioanalysis techniques (5 papers), Electrochemical sensors and biosensors (4 papers), Biosensors and Analytical Detection (4 papers), SARS-CoV-2 detection and testing (3 papers), Minerals Flotation and Separation Techniques (3 papers), Algal biology and biofuel production (3 papers) and Extraction and Separation Processes (3 papers). The work is most often cited by research in Environmental Chemistry (276 citations), Electrochemistry (90 citations), Health, Toxicology and Mutagenesis (157 citations), Industrial and Manufacturing Engineering (71 citations) and Bioengineering (40 citations). Dingnan Lu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jiayue Luo, Sha Sha, Zhuangrong Huang, Pradeep Kurup, David Z. Zhu, Xiaoqi Zhang, Christopher Drew, Huihui Gan, Huihui Gan and Zhiyuan Yao. Their work appears in journals such as Sensors and Actuators B Chemical, Journal of Hazardous Materials, Materials Horizons, Talanta and Water Research.

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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