Li Lü

163 papers receiving 2.9k citations

Li Lü's Hit Papers

A China dataset of soil properties for land surface modelling (version 2, CSDLv2) 2025 · 32 citations
320Years since publication102030

Peers

Li Lü
Comparison fields: 5 of 173
  • Signal Processing 552
  • Artificial Intelligence 876
  • Computer Vision and Pattern Recognition 553
  • Human-Computer Interaction 151
  • Information Systems 368
Replace Abir Jaafar Hussain with:
Abir Jaafar Hussain United Kingdom
Ning An China
Kathiravan Srinivasan India
Mohammad Shahadat Hossain Bangladesh
Flora Dilys Salim Australia
Kuruva Lakshmanna India
Senén Barro Spain
Xiao Wei China
Sharnil Pandya India
Ming Zong China
Li Lü relative to Abir Jaafar Hussain United Kingdom Abir Jaafar Hussain's profile →
Citations per field
00.5×1.5×2×2.3×
Abir Jaafar 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 178 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018233
2 2008166
3 2020159
4 2019155
5 2021139
6 2020139
7 2005125
8 2010107
9 201893
10 201992
11 202071
12 201371
13 201966
14 201948
15 201748
16 202339
17 202438
18 202233
19 202133
20
A China dataset of soil properties for land surface modelling (version 2, CSDLv2)
Hit paper breakdown →
202532

About Li Lü

Li Lü is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Information Systems and Computer Networks and Communications, having authored 178 papers that have together received 3.0k indexed citations. Recurring topics across this work include Speech and Audio Processing (41 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 (13 papers), Anomaly Detection Techniques and Applications (9 papers), User Authentication and Security Systems (9 papers) and Digital Media Forensic Detection (9 papers). The work is most often cited by research in Signal Processing (552 citations), Artificial Intelligence (876 citations), Computer Vision and Pattern Recognition (553 citations), Human-Computer Interaction (151 citations) and Information Systems (368 citations). Li Lü has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jiadi Yu, Yingying Jennifer Chen, Yanmin Zhu, Therese M Hesketh, Minglu Li, Linghe Kong, Hao Kong, Michael M. Kochen, Tianhui Chen and Jun Ye. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, IEEE Transactions on Dependable and Secure Computing, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, 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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