Jinman Kang

574 total citations
11 papers, 395 citations indexed

About

Jinman Kang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Ocean Engineering. According to data from OpenAlex, Jinman Kang has authored 11 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Ocean Engineering. Recurrent topics in Jinman Kang's work include Advanced Vision and Imaging (9 papers), Video Surveillance and Tracking Methods (9 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Jinman Kang is often cited by papers focused on Advanced Vision and Imaging (9 papers), Video Surveillance and Tracking Methods (9 papers) and Advanced Image and Video Retrieval Techniques (5 papers). Jinman Kang collaborates with scholars based in United States and United Kingdom. Jinman Kang's co-authors include I. Cohen, Gérard Medioni, Gérard Medioni, Isaac Cohen, Yuan Chang, Wei Hua, Qi Zhao, Hai Tao, Xiang-Rong Chen and Haisong Gu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Machine Vision and Applications and Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

In The Last Decade

Jinman Kang

11 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jinman Kang United States	9	376	103	52	35	21	11	395
J. Black United Kingdom	6	290 0.8×	57 0.6×	67 1.3×	40 1.1×	19 0.9×	8	330
Graeme A. Jones United Kingdom	7	272 0.7×	54 0.5×	46 0.9×	22 0.6×	21 1.0×	14	316
Matthew Boonstra United States	3	318 0.8×	44 0.4×	68 1.3×	24 0.7×	29 1.4×	3	354
Reid Christian Bowers United States	2	316 0.8×	44 0.4×	66 1.3×	24 0.7×	29 1.4×	2	346
Mark Keck United States	7	313 0.8×	162 1.6×	34 0.7×	32 0.9×	53 2.5×	11	361
V. Manohar India	3	318 0.8×	47 0.5×	67 1.3×	26 0.7×	31 1.5×	8	353
Shafique United States	3	279 0.7×	41 0.4×	64 1.2×	39 1.1×	11 0.5×	4	309
Samia Bouchafa France	8	157 0.4×	75 0.7×	39 0.8×	32 0.9×	16 0.8×	39	235
Thang Ba Dinh Vietnam	7	451 1.2×	92 0.9×	43 0.8×	45 1.3×	17 0.8×	13	469

Countries citing papers authored by Jinman Kang

Since Specialization

Citations

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

Fields of papers citing papers by Jinman Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinman Kang

This figure shows the co-authorship network connecting the top 25 collaborators of Jinman Kang. A scholar is included among the top collaborators of Jinman Kang 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 Jinman Kang. Jinman Kang 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.

Wei, Hua, et al.. (2008). Waterfront surveillance and trackability. Machine Vision and Applications. 19(5-6). 291–300. 3 indexed citations

2.

Chang, Yuan, Gérard Medioni, Jinman Kang, & Isaac Cohen. (2007). Detecting Motion Regions in the Presence of a Strong Parallax from a Moving Camera by Multiview Geometric Constraints. IEEE Transactions on Pattern Analysis and Machine Intelligence. 29(9). 1627–1641. 79 indexed citations

3.

Zhao, Qi, Jinman Kang, Hai Tao, & Wei Hua. (2006). Part Based Human Tracking In A Multiple Cues Fusion Framework. 450–455. 8 indexed citations

4.

Kang, Jinman, Isaac Cohen, & Gérard Medioni. (2005). Persistent Objects Tracking Across Multiple Non Overlapping Cameras. 112–119. 28 indexed citations

5.

Kang, Jinman, et al.. (2005). Detection and Tracking of Moving Objects from Overlapping EO and IR Sensors. 123–123. 21 indexed citations

6.

Kang, Jinman, I. Cohen, Gérard Medioni, & Yuan Chang. (2005). Detection and tracking of moving objects from a moving platform in presence of strong parallax. 10–17 Vol. 1. 62 indexed citations

7.

Kang, Jinman & Isaac Cohen. (2004). Soccer Player Tracking across Uncalibrated Camera Streams. 15 indexed citations

8.

Kang, Jinman, I. Cohen, & Gérard Medioni. (2004). Object reacquisition using invariant appearance model. Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.. 759–762 Vol.4. 17 indexed citations

9.

Kang, Jinman, I. Cohen, & Gérard Medioni. (2003). Continuous multi-views tracking using tensor voting. 2. 181–186. 23 indexed citations

10.

Kang, Jinman, Isaac Cohen, & Gérard Medioni. (2003). Multi-views tracking within and across uncalibrated camera streams. 21–21. 14 indexed citations

11.

Kang, Jinman, I. Cohen, & Gérard Medioni. (2003). Continuous tracking within and across camera streams. I–267. 125 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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