Wei-Lwun Lu

717 total citations
11 papers, 495 citations indexed

About

Wei-Lwun Lu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Geology. According to data from OpenAlex, Wei-Lwun Lu has authored 11 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 3 papers in Geology. Recurrent topics in Wei-Lwun Lu's work include Video Surveillance and Tracking Methods (6 papers), Human Pose and Action Recognition (5 papers) and 3D Surveying and Cultural Heritage (3 papers). Wei-Lwun Lu is often cited by papers focused on Video Surveillance and Tracking Methods (6 papers), Human Pose and Action Recognition (5 papers) and 3D Surveying and Cultural Heritage (3 papers). Wei-Lwun Lu collaborates with scholars based in Canada, United States and Hong Kong. Wei-Lwun Lu's co-authors include James J. Little, Kevin Murphy, Kenji Okuma, Yuanzheng Paul Tan, Alla Sheffer, Hongbo Fu, Jo-Anne Ting, Kevin P. Murphy, Denis Savenkov and Jeff Dalton and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Wei-Lwun Lu

9 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wei-Lwun Lu Canada	9	379	163	65	52	46	11	495
Jiaping Zhao United States	9	119 0.3×	116 0.7×	73 1.1×	27 0.5×	34 0.7×	14	392
Haotian Zhang China	9	287 0.8×	41 0.3×	49 0.8×	13 0.3×	67 1.5×	24	409
Zongmin Li China	13	295 0.8×	87 0.5×	25 0.4×	14 0.3×	16 0.3×	83	468
Xianzhi Li China	10	190 0.5×	50 0.3×	40 0.6×	12 0.2×	55 1.2×	27	373
Boxiong Yang China	9	136 0.4×	51 0.3×	41 0.6×	30 0.6×	35 0.8×	19	314
Jia Xue United States	6	220 0.6×	56 0.3×	29 0.4×	25 0.5×	26 0.6×	12	326
Jian Lü China	12	237 0.6×	68 0.4×	20 0.3×	35 0.7×	24 0.5×	59	375
Ziying Song China	12	373 1.0×	63 0.4×	47 0.7×	8 0.2×	45 1.0×	30	548
Visesh Chari India	11	457 1.2×	48 0.3×	24 0.4×	21 0.4×	62 1.3×	20	542

Countries citing papers authored by Wei-Lwun Lu

Since Specialization

Citations

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

Fields of papers citing papers by Wei-Lwun Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei-Lwun Lu

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

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Liu, Jie, Wei-Lwun Lu, Zhikun Wang, Dong Xie, & Hongbo Shi. (2024). Research on unmanned aerial vehicle power inspection technology based on YOLOV3. 241–241.

2.

Savenkov, Denis, Wei-Lwun Lu, Jeff Dalton, & Eugene Agichtein. (2015). Relation Extraction from Community Generated Question-Answer Pairs. 96–102. 8 indexed citations

3.

Lu, Wei-Lwun, et al.. (2013). Learning to Track and Identify Players from Broadcast Sports Videos. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(7). 1704–1716. 148 indexed citations

4.

Lu, Wei-Lwun, Jo-Anne Ting, Kevin Murphy, & James J. Little. (2011). Identifying players in broadcast sports videos using conditional random fields. 3249–3256. 47 indexed citations

5.

Lu, Wei-Lwun, Kevin P. Murphy, James J. Little, Alla Sheffer, & Hongbo Fu. (2009). A Hybrid Conditional Random Field for Estimating the Underlying Ground Surface From Airborne LiDAR Data. IEEE Transactions on Geoscience and Remote Sensing. 47(8). 2913–2922. 57 indexed citations

6.

Lu, Wei-Lwun, Kenji Okuma, & James J. Little. (2008). Tracking and recognizing actions of multiple hockey players using the boosted particle filter. Image and Vision Computing. 27(1-2). 189–205. 85 indexed citations

7.

Lu, Wei-Lwun, James J. Little, Alla Sheffer, & Hongbo Fu. (2008). Deforestation: Extracting 3D Bare-Earth Surface from Airborne LiDAR Data. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 33. 203–210. 10 indexed citations

8.

Lu, Wei-Lwun & James J. Little. (2006). Simultaneous Tracking and Action Recognition using the PCA-HOG Descriptor. 6–6. 83 indexed citations

9.

Lu, Wei-Lwun & James J. Little. (2006). Tracking and Recognizing Actions at a Distance. 17 indexed citations

10.

Lu, Wei-Lwun & Yuanzheng Paul Tan. (2004). A Vision-Based Approach to Early Detection of Drowning Incidents in Swimming Pools. IEEE Transactions on Circuits and Systems for Video Technology. 14(2). 159–178. 40 indexed citations

11.

Lu, Wei-Lwun. (2001). Digital terrain models: An overview of DTM generation and interpolation issues. The HKU Scholars Hub (University of Hong Kong).

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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