Lide Wang

66 papers receiving 853 citations

Peers

Lide Wang
Comparison fields: 5 of 129
  • Soil Science 88
  • Orthopedics and Sports Medicine 45
  • Hardware and Architecture 33
  • Plant Science 166
  • Statistics, Probability and Uncertainty 30
Replace J.M. Herrero with:
J.M. Herrero Spain
Pengpeng Chen China
He Huang China
Zhixuan Chen China
Jörg Kaiser Germany
Haiyan Li China
Xiangyang Xu China
Kun Hu China
Rong Ye China
Meng Zheng China
Lide Wang relative to J.M. Herrero Spain J.M. Herrero's profile →
Citations per field
00.5×10×20×30×40×45×
J.M. Herrero · 1×
Citations per year

Countries citing papers authored by Lide Wang

Since Specialization
Citations

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

Fields of papers citing papers by Lide Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010127
2 202095
3 201673
4 200460
5 201958
6 202140
7 201237
8 202037
9 202133
10 201222
11 202117
12 202117
13 201916
14 202314
15 202114
16 202013
17 202313
18 202312
19 200811
20 20169

About Lide Wang

Lide Wang is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 75 papers that have together received 878 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), Anomaly Detection Techniques and Applications (5 papers), Lung Cancer Research Studies (5 papers), Fault Detection and Control Systems (4 papers), Software System Performance and Reliability (4 papers), Atomic and Molecular Physics (4 papers), Advanced Computational Techniques and Applications (4 papers) and Laser Design and Applications (4 papers). The work is most often cited by research in Soil Science (88 citations), Orthopedics and Sports Medicine (45 citations), Hardware and Architecture (33 citations), Plant Science (166 citations) and Statistics, Probability and Uncertainty (30 citations). Lide Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yin Wang, Yu Hen Hu, Weiguo Zhang, Shiyi Chen, Linan Li, Qirong Dong, Haibin Zhou, Kai Gao, Yifan Kang and Guangzheng Sun. Their work appears in journals such as IEEE Access, Journal of Quantitative Spectroscopy and Radiative Transfer, European Journal of Orthopaedic Surgery & Traumatology, Arthroscopy The Journal of Arthroscopic and Related Surgery and IEEE Signal Processing Letters.

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.

Explore authors with similar magnitude of impact