Lu Pang

929 total citations · 1 hit paper
11 papers, 593 citations indexed

About

Lu Pang is a scholar working on Computer Networks and Communications, Computer Vision and Pattern Recognition and Hardware and Architecture. According to data from OpenAlex, Lu Pang has authored 11 papers receiving a total of 593 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Networks and Communications, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Hardware and Architecture. Recurrent topics in Lu Pang's work include Advanced Data Storage Technologies (4 papers), Parallel Computing and Optimization Techniques (2 papers) and Video Surveillance and Tracking Methods (2 papers). Lu Pang is often cited by papers focused on Advanced Data Storage Technologies (4 papers), Parallel Computing and Optimization Techniques (2 papers) and Video Surveillance and Tracking Methods (2 papers). Lu Pang collaborates with scholars based in China, United States and United Kingdom. Lu Pang's co-authors include Yaowei Wang, Tiejun Huang, Yonghong Tian, Hongye Liu, Yi-Zhe Song, Weimin Lyu, Haibin Ling, Chao Chen, Krishna Kant and Chao Chen and has published in prestigious journals such as Measurement Science and Technology, Performance Evaluation and Clinical and Experimental Rheumatology.

In The Last Decade

Lu Pang

10 papers receiving 582 citations

Hit Papers

Deep Relative Distance Learning: Tell the Difference betw... 2016 2026 2019 2022 2016 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lu Pang China 5 530 140 96 91 23 11 593
Ratnesh Kumar India 6 399 0.8× 61 0.4× 73 0.8× 120 1.3× 31 1.3× 17 489
Jianyu Chen China 12 279 0.5× 50 0.4× 81 0.8× 126 1.4× 21 0.9× 42 396
Abrar Ahmed Pakistan 7 422 0.8× 50 0.4× 106 1.1× 31 0.3× 27 1.2× 9 537
Adnan Ahmed Rafique Pakistan 10 353 0.7× 50 0.4× 101 1.1× 32 0.4× 34 1.5× 15 481
Tasweer Ahmad Pakistan 9 366 0.7× 171 1.2× 124 1.3× 28 0.3× 12 0.5× 19 492
Csaba Beleznai Austria 11 323 0.6× 58 0.4× 83 0.9× 27 0.3× 33 1.4× 34 411
Chunluan Zhou China 11 513 1.0× 36 0.3× 190 2.0× 52 0.6× 46 2.0× 20 583
Ankur Datta United States 12 336 0.6× 105 0.8× 76 0.8× 23 0.3× 66 2.9× 24 443
Yi-Ming Chan Taiwan 11 342 0.6× 43 0.3× 92 1.0× 148 1.6× 35 1.5× 28 441

Countries citing papers authored by Lu Pang

Since Specialization
Citations

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

Fields of papers citing papers by Lu Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lu Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Lu Pang. A scholar is included among the top collaborators of Lu Pang 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 Lu Pang. Lu Pang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
1.
Lyu, Weimin, et al.. (2024). Task-Agnostic Detector for Insertion-Based Backdoor Attacks. 2808–2822. 4 indexed citations
2.
Liu, Zhiming, et al.. (2024). AVA-YOLO: image-based multiscale feature fusion enhanced perception model for snow avalanche detection. Measurement Science and Technology. 35(12). 125804–125804. 1 indexed citations
3.
Huang, Haiming, et al.. (2023). A machine learning model for identifying systemic lupus erythematosus through laboratory information system and electronic medical record. Clinical and Experimental Rheumatology. 42(3). 702–712. 2 indexed citations
4.
Lyu, Weimin, et al.. (2023). Attention-Enhancing Backdoor Attacks Against BERT-based Models. 10672–10690. 18 indexed citations
5.
Pang, Lu, et al.. (2023). Adaptive Intelligent Tiering for modern storage systems. Performance Evaluation. 160. 102332–102332. 2 indexed citations
6.
Pang, Lu & Krishna Kant. (2022). Server-Side Workload Identification for HPC I/O Requests. 15–22. 1 indexed citations
7.
Pang, Lu, Krishna Kant, & Jie Wu. (2022). SIST: A Similarity Index for Storage Traffic. 1–8.
8.
Pang, Lu, et al.. (2019). Data Heat Prediction in Storage Systems Using Behavior Specific Prediction Models. 1–8. 5 indexed citations
9.
Pang, Lu, Yaowei Wang, Yi-Zhe Song, Tiejun Huang, & Yonghong Tian. (2018). Cross-Domain Adversarial Feature Learning for Sketch Re-identification. Surrey Research Insight Open Access (The University of Surrey). 609–617. 43 indexed citations
10.
Liu, Hongye, Yonghong Tian, Yaowei Wang, Lu Pang, & Tiejun Huang. (2016). Deep Relative Distance Learning: Tell the Difference between Similar Vehicles. 2167–2175. 516 indexed citations breakdown →
11.
Pang, Lu, et al.. (2013). Method for Extraction of Object Contour of near Space SAR Image Based on Level Set Algorithm. Applied Mechanics and Materials. 347-350. 3581–3585. 1 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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