Lili Su

2.4k citations
72 papers · 1.4k · h-index 19

Impact in

    • Drug Solubulity and Delivery Systems
    • Advanced Drug Delivery Systems
    • Privacy-Preserving Technologies in Data
    • Stochastic Gradient Optimization Techniques
    • Cryptography and Data Security
    • Adversarial Robustness in Machine Learning

Papers in

Lili Su

63 papers receiving 1.3k citations

Peers

Lili Su
Comparison fields: 5 of 125
  • Pharmaceutical Science 159
  • Artificial Intelligence 544
  • Computer Networks and Communications 296
  • Automotive Engineering 90
  • Computer Science Applications 33
Replace Wenchao Li with:
Wenchao Li China
Chen Fu China
Muhammad Mohsin Ansari Pakistan
Kai Zhang China
Jingyi Wang China
Jens Schulz Germany
Yu Gao China
Jingjing Wang China
Xianxian Li China
Lili Su relative to Wenchao Li China Wenchao Li's profile →
Citations per field
00.5×9.4×
Wenchao Li · 1×
Citations per year

Countries citing papers authored by Lili Su

Since Specialization
Citations

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

Fields of papers citing papers by Lili Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017268
2 2018118
3 2018104
4 201967
5 201665
6 201860
7 201757
8 202052
9 201749
10 201948
11 201640
12 201934
13 202234
14 201732
15 201829
16 201622
17 201920
18 201919
19 201619
20 202117

About Lili Su

Lili Su is a scholar working on Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering, Automotive Engineering and Biomedical Engineering, having authored 72 papers that have together received 1.4k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (12 papers), Stochastic Gradient Optimization Techniques (9 papers), Vehicle Noise and Vibration Control (6 papers), Distributed Control Multi-Agent Systems (6 papers), Autonomous Vehicle Technology and Safety (5 papers), Machine Learning and Algorithms (5 papers), Distributed Sensor Networks and Detection Algorithms (5 papers) and Advanced Memory and Neural Computing (4 papers). The work is most often cited by research in Pharmaceutical Science (159 citations), Artificial Intelligence (544 citations), Computer Networks and Communications (296 citations), Automotive Engineering (90 citations) and Computer Science Applications (33 citations). Lili Su has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jiaming Xu, Yudong Chen, Nitin H. Vaidya, Ziyi Yang, Xia Lin, Shahin Shahrampour, Na Li, Yang Hu, Xuan Yang and Weide Li. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, IEEE Transactions on Automatic Control, Journal of Drug Delivery Science and Technology, International Journal of Pharmaceutics and Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering.

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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