Li Lü

152 papers receiving 2.4k citations

Li Lü's Hit Papers

A China dataset of soil properties for land surface modelling (version 2, CSDLv2) 2025 · 23 citations
230Years since publication5101520

Peers

Li Lü
Comparison fields: 5 of 169
  • Signal Processing 507
  • Human-Computer Interaction 132
  • Computer Vision and Pattern Recognition 451
  • Artificial Intelligence 625
  • Information Systems 317
Replace Abir Hussain with:
Abir Hussain United Kingdom
Ning An China
Ausif Mahmood United States
Sharnil Pandya India
Konstantinos Votis Greece
Syed Mohammed Shamsul Islam Australia
Petteri Nurmi Finland
Youngki Lee South Korea
Ming Zong China
Chuan‐Yu Chang Taiwan
Li Lü relative to Abir Hussain United Kingdom Abir Hussain's profile →
Citations per field
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Abir Hussain · 1×
Citations per year

Countries citing papers authored by Li Lü

Since Specialization
Citations

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

Fields of papers citing papers by Li Lü

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 166 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018191
2 2008164
3 2019148
4 2020136
5 2021123
6 2005117
7 2010104
8 201893
9 201982
10 201369
11 201962
12 202060
13 201943
14 201743
15 202232
16 202130
17 202329
18 202228
19 202027
20 201526

About Li Lü

Li Lü is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Information Systems, having authored 166 papers that have together received 2.5k indexed citations. Recurring topics across this work include Speech and Audio Processing (40 papers), Speech Recognition and Synthesis (30 papers), Music and Audio Processing (27 papers), Indoor and Outdoor Localization Technologies (15 papers), Adversarial Robustness in Machine Learning (12 papers), Digital Media Forensic Detection (9 papers), Anomaly Detection Techniques and Applications (8 papers) and User Authentication and Security Systems (8 papers). The work is most often cited by research in Signal Processing (507 citations), Human-Computer Interaction (132 citations), Computer Vision and Pattern Recognition (451 citations), Artificial Intelligence (625 citations) and Information Systems (317 citations). Li Lü has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jiadi Yu, Yingying Chen, Yanmin Zhu, Thérèse Hesketh, Minglu Li, Linghe Kong, Hao Kong, Mei Wang, Jun Ye and Michael M. Kochen. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Mobile Computing and IEEE/ACM Transactions on Networking.

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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