Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
A review of algorithms for filtering the 3D point cloud
2017303 citationsXian-Feng Han, Jesse S. Jin et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Jesse S. Jin'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 Jesse S. Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesse S. Jin more than expected).
This network shows the impact of papers produced by Jesse S. Jin. 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 Jesse S. Jin. The network helps show where Jesse S. Jin may publish in the future.
Co-authorship network of co-authors of Jesse S. Jin
This figure shows the co-authorship network connecting the top 25 collaborators of Jesse S. Jin.
A scholar is included among the top collaborators of Jesse S. Jin 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 Jesse S. Jin. Jesse S. Jin is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Li, Yijun, Danqing Zhang, Xiangmin Zhou, & Jesse S. Jin. (2008). A confidence based recognition system for TV commercial extraction. Queensland's institutional digital repository (The University of Queensland). 75. 57–64.12 indexed citations
Xu, Richard Yi Da, et al.. (2005). E-Learning via Augmented Reality on Adaptive LMS. E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education. 2005(1). 2199–2204.1 indexed citations
13.
Duan, Ling‐Yu, Jinqiao Wang, Yan-Tao Zheng, et al.. (2005). Shot-Level Camera Motion Estimation Based on a Parametric Model.. TRECVID.3 indexed citations
14.
Xu, Richard Yi Da, John G. Allen, & Jesse S. Jin. (2005). Framework for Multimedia Lecture System using Real-Time Video Object Event Detection and Scripting.. 349–352.1 indexed citations
15.
Xu, Richard Yi Da & Jesse S. Jin. (2005). Adapting Computer Vision Algorithms to Real-time Peer-to-Peer E-learning: Review, Issues and Solutions. 2005(1). 2513–2519.1 indexed citations
16.
Lim, Joo‐Hwee & Jesse S. Jin. (2003). Learning consumer photo categories for semantic retrieval. International Joint Conference on Artificial Intelligence. 1413–1414.2 indexed citations
17.
Park, Mi‐Ra, Jesse S. Jin, & Laurence S. Wilson. (2003). Detection and measurement of hilar region in chest radiograph. 83–87.5 indexed citations
18.
Jin, Jesse S., et al.. (1997). Techniques for Supporting Efficient Content-based Retrieval in Multimedia Databases.. Australian Computer Journal. 29. 122–130.2 indexed citations
Jin, Jesse S.. (1990). AN ADAPTIVE ALGORITHM FOR EDGE DETECTION WITH SUBPIXEL ACCURACY IN NOISY IMAGES. Machine Vision and Applications. 249–252.3 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.