Sidi Lu

2.2k total citations
27 papers, 982 citations indexed

About

Sidi Lu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Sidi Lu has authored 27 papers receiving a total of 982 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Sidi Lu's work include Vehicular Ad Hoc Networks (VANETs) (7 papers), Autonomous Vehicle Technology and Safety (6 papers) and Topic Modeling (5 papers). Sidi Lu is often cited by papers focused on Vehicular Ad Hoc Networks (VANETs) (7 papers), Autonomous Vehicle Technology and Safety (6 papers) and Topic Modeling (5 papers). Sidi Lu collaborates with scholars based in United States, China and United Kingdom. Sidi Lu's co-authors include Weisong Shi, Weinan Zhang, Yong Yu, Jiaxian Guo, Yongtao Yao, Liangkai Liu, Han Cai, Zhong Ren, Jun Wang and Baofu Wu and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Internet of Things Journal and IEEE Network.

In The Last Decade

Sidi Lu

25 papers receiving 950 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sidi Lu United States 12 487 352 186 151 146 27 982
Tongqing Zhou China 18 391 0.8× 275 0.8× 346 1.9× 173 1.1× 49 0.3× 74 1.0k
Qingyang Zhang China 20 403 0.8× 313 0.9× 539 2.9× 259 1.7× 146 1.0× 54 1.2k
Adam Gleave United Kingdom 5 293 0.6× 129 0.4× 205 1.1× 167 1.1× 93 0.6× 8 864
Yair Wiseman Israel 18 223 0.5× 320 0.9× 307 1.7× 134 0.9× 246 1.7× 82 1.0k
Genggeng Liu China 19 308 0.6× 184 0.5× 180 1.0× 331 2.2× 41 0.3× 91 983
Peijun Ma China 16 231 0.5× 248 0.7× 101 0.5× 96 0.6× 102 0.7× 71 990
Mukesh Saini India 15 195 0.4× 330 0.9× 331 1.8× 335 2.2× 73 0.5× 65 979
Liangkai Liu United States 13 246 0.5× 408 1.2× 563 3.0× 466 3.1× 305 2.1× 29 1.3k
Anssi Kanervisto Finland 7 349 0.7× 190 0.5× 102 0.5× 162 1.1× 112 0.8× 9 869

Countries citing papers authored by Sidi Lu

Since Specialization
Citations

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

Fields of papers citing papers by Sidi Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sidi Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Sidi Lu. A scholar is included among the top collaborators of Sidi Lu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sidi Lu. Sidi Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Lu, Sidi, et al.. (2024). Enhancing Real-time Inference Performance for Time-Critical Software-Defined Vehicles. 101–113. 1 indexed citations
3.
Yao, Yongtao, et al.. (2024). An Efficient Data Transmission Framework for Connected Vehicles. 306–320.
4.
Lu, Sidi, et al.. (2024). Toward Real-Time and Efficient Perception Workflows in Software-Defined Vehicles. IEEE Internet of Things Journal. 12(6). 7240–7258. 1 indexed citations
5.
Zhou, Gang, et al.. (2024). Impact of Raindrops on Camera-Based Detection in Software-Defined Vehicles. 193–205. 2 indexed citations
6.
Lu, Sidi, et al.. (2023). Edge-Assisted Over-the-Air Software Updates. 18–27. 1 indexed citations
7.
8.
Yu, Fuxun, Di Wang, Yinpeng Chen, et al.. (2022). SC-UDA: Style and Content Gaps aware Unsupervised Domain Adaptation for Object Detection. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 1061–1070. 33 indexed citations
9.
Lu, Sidi, et al.. (2022). A Comparison of End-to-End Architectures for Connected Vehicles. 72–80. 5 indexed citations
10.
Lu, Sidi & Weisong Shi. (2022). Vehicle Computing: Vision and challenges. SHILAP Revista de lepidopterología. 1(1). 23–35. 20 indexed citations
11.
Lu, Sidi & Weisong Shi. (2021). The Emergence of Vehicle Computing. IEEE Internet Computing. 25(3). 18–22. 19 indexed citations
12.
Lu, Sidi, et al.. (2021). SafeCampus: Multimodal-Based Campus-Wide Pandemic Forecasting. IEEE Internet Computing. 26(1). 60–67. 1 indexed citations
13.
Lu, Sidi, Bing Luo, Tirthak Patel, et al.. (2020). Making Disk Failure Predictions SMARTer. File and Storage Technologies. 151–167. 33 indexed citations
14.
Shang, Bodong, et al.. (2020). A Cross-Layer Optimization Framework for Distributed Computing in IoT Networks. 440–444. 5 indexed citations
15.
Lu, Sidi, Yongtao Yao, & Weisong Shi. (2020). CLONE: Collaborative Learning on the Edges. IEEE Internet of Things Journal. 8(13). 10222–10236. 16 indexed citations
16.
Lu, Sidi, Xin Yuan, & Weisong Shi. (2020). Edge Compression: An Integrated Framework for Compressive Imaging Processing on CAVs. 125–138. 27 indexed citations
17.
Lu, Sidi, Jiayuan Mao, Joshua B. Tenenbaum, & Jiajun Wu. (2019). Neurally-Guided Structure Inference. arXiv (Cornell University). 4144–4153. 1 indexed citations
18.
Zhang, Xingzhou, Yifan Wang, Sidi Lu, et al.. (2019). OpenEI: An Open Framework for Edge Intelligence. 1840–1851. 86 indexed citations
19.
Lu, Sidi, Lantao Yu, Siyuan Feng, et al.. (2018). CoT: Cooperative Training for Generative Modeling of Discrete Data. International Conference on Machine Learning. 4164–4172. 6 indexed citations
20.
Lu, Sidi, Lantao Yu, Weinan Zhang, & Yong Yu. (2018). CoT: Cooperative Training for Generative Modeling.. arXiv (Cornell University). 5 indexed citations

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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