Xiaoduo Li

617 citations
43 papers · 358 · h-index 10

Impact in

Papers in

Xiaoduo Li

34 papers receiving 352 citations

Peers

Xiaoduo Li
Comparison fields: 5 of 59
  • Computer Networks and Communications 239
  • Control and Systems Engineering 136
  • Aerospace Engineering 57
  • Biochemistry 10
  • Pharmacology 14
Replace Sung G. Lee with:
Sung G. Lee United States
Jinhe Chen China
Yeh Yeh Taiwan
Tairan Liu United States
Jian Ding China
Ulrike Kleb Austria
Yongbei Liu China
Xuehua Yan China
Mahmoud Abdelrahim Egypt
Xiaoduo Li relative to Sung G. Lee United States Sung G. Lee's profile →
Citations per field
00.5×6.4×
Sung G. Lee · 1×
Citations per year

Countries citing papers authored by Xiaoduo Li

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoduo Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201872
2 202364
3 202041
4 202032
5 201119
6 202312
7 202312
8 202412
9 202312
10 20219
11 20239
12 20258
13 20238
14 20125
15 20245
16 20175
17 20174
18 20243
19 20243
20 20213

About Xiaoduo Li

Xiaoduo Li is a scholar working on Computer Networks and Communications, Aerospace Engineering, Control and Systems Engineering, Molecular Biology and Pharmacology, having authored 43 papers that have together received 358 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (24 papers), Neural Networks Stability and Synchronization (8 papers), UAV Applications and Optimization (7 papers), Adaptive Control of Nonlinear Systems (5 papers), Berberine and alkaloids research (5 papers), Adaptive Dynamic Programming Control (4 papers), Robotic Path Planning Algorithms (3 papers) and Energy Efficient Wireless Sensor Networks (3 papers). The work is most often cited by research in Computer Networks and Communications (239 citations), Control and Systems Engineering (136 citations), Aerospace Engineering (57 citations), Biochemistry (10 citations) and Pharmacology (14 citations). Xiaoduo Li has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Zhang Ren, Xiwang Dong, Qingdong Li, Liang Han, Ziwei Yan, Xiaoli Ye, Liang Han, Xuegang Li, Yuxin Xie and Jianhua Wang. Their work appears in journals such as Journal of the Franklin Institute, International Immunopharmacology, IEEE Transactions on Cybernetics, Journal of Ethnopharmacology and Phytomedicine.

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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