Yunli Long

692 total citations
12 papers, 507 citations indexed

About

Yunli Long is a scholar working on Aerospace Engineering, Media Technology and Electrical and Electronic Engineering. According to data from OpenAlex, Yunli Long has authored 12 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Aerospace Engineering, 5 papers in Media Technology and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Yunli Long's work include Infrared Target Detection Methodologies (8 papers), Advanced Measurement and Detection Methods (4 papers) and Target Tracking and Data Fusion in Sensor Networks (4 papers). Yunli Long is often cited by papers focused on Infrared Target Detection Methodologies (8 papers), Advanced Measurement and Detection Methods (4 papers) and Target Tracking and Data Fusion in Sensor Networks (4 papers). Yunli Long collaborates with scholars based in China, Canada and Finland. Yunli Long's co-authors include Li Liu, Paul Fieguth, Gangyao Kuang, Lingjun Zhao, Songyang Lao, Guoying Zhao, Wei An, Jungang Yang, Yang Sun and Hui Xu and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Signal Processing.

In The Last Decade

Yunli Long

10 papers receiving 493 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yunli Long China 6 360 110 104 58 52 12 507
Zhentao Tan China 10 345 1.0× 44 0.4× 69 0.7× 34 0.6× 61 1.2× 24 483
Ye Zhao China 10 145 0.4× 54 0.5× 192 1.8× 108 1.9× 33 0.6× 26 369
Xinyi Ying China 9 527 1.5× 309 2.8× 167 1.6× 71 1.2× 21 0.4× 23 685
J.F. Haddon United Kingdom 8 239 0.7× 76 0.7× 30 0.3× 25 0.4× 55 1.1× 30 347
Dmytro Mishkin Czechia 6 277 0.8× 27 0.2× 159 1.5× 26 0.4× 77 1.5× 9 421
Dake Zhou China 11 219 0.6× 100 0.9× 27 0.3× 28 0.5× 18 0.3× 35 299
Jignesh N. Sarvaiya India 8 150 0.4× 43 0.4× 74 0.7× 54 0.9× 35 0.7× 35 306
Jianping Fan China 5 370 1.0× 108 1.0× 22 0.2× 14 0.2× 63 1.2× 6 472
Alexandre L. M. Levada Brazil 9 109 0.3× 57 0.5× 30 0.3× 20 0.3× 48 0.9× 52 244

Countries citing papers authored by Yunli Long

Since Specialization
Citations

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

Fields of papers citing papers by Yunli Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunli Long

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

All Works

12 of 12 papers shown
1.
Sun, Yang, Jungang Yang, Yunli Long, & Wei An. (2019). Infrared Small Target Detection via Spatial-Temporal Total Variation Regularization and Weighted Tensor Nuclear Norm. IEEE Access. 7. 56667–56682. 47 indexed citations
2.
Sun, Yang, et al.. (2018). Infrared Patch-Tensor Model With Weighted Tensor Nuclear Norm for Small Target Detection in a Single Frame. IEEE Access. 6. 76140–76152. 38 indexed citations
3.
Fu, Hao, et al.. (2018). Infrared small target detection based on multiscale center-surround contrast measure. 218–218. 3 indexed citations
4.
Long, Yunli, et al.. (2018). MULTITARGET TRACKING BASED ON PHD SMOOTHER WITH UNKNOWN CLUTTER SPATIAL DENSITY. Progress In Electromagnetics Research C. 82. 123–133.
5.
Long, Yunli, et al.. (2017). Multitarget track-before-detect from image observations based on multi-object particle PHD filter. 2017 Progress In Electromagnetics Research Symposium - Spring (PIERS). 57. 3062–3066. 2 indexed citations
6.
Fu, Hao, Yunli Long, Jungang Yang, & Wei An. (2017). Infrared small target detection based on target-background separation via local MCA sparse representation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10420. 104200X–104200X. 1 indexed citations
7.
Long, Yunli, et al.. (2016). Parallel particle PHD filter implemented on multicore and cluster systems. Signal Processing. 127. 206–216. 6 indexed citations
8.
Li, Miao, Zaiping Lin, Yunli Long, Wei An, & Yiyu Zhou. (2016). Joint detection and tracking of size-varying infrared targets based on block-wise sparse decomposition. Infrared Physics & Technology. 76. 131–138. 2 indexed citations
9.
Liu, Li, Yunli Long, Paul Fieguth, Songyang Lao, & Guoying Zhao. (2014). BRINT: Binary Rotation Invariant and Noise Tolerant Texture Classification. IEEE Transactions on Image Processing. 23(7). 3071–3084. 157 indexed citations
10.
Zhang, Yinsheng, Yunli Long, & Kun Liu. (2014). Track-before-detect algorithm for maneuvering infrared weak multiple targets via particle filter. Chinese Optics Letters. 12(10). 101101–101101. 1 indexed citations
11.
Long, Yunli, Hui Xu, Wei An, & Li Liu. (2012). Track-before-detect for Infrared Maneuvering Dim Multi-target via MM-PHD. Chinese Journal of Aeronautics. 25(2). 252–261. 13 indexed citations
12.
Liu, Li, Lingjun Zhao, Yunli Long, Gangyao Kuang, & Paul Fieguth. (2012). Extended local binary patterns for texture classification. Image and Vision Computing. 30(2). 86–99. 237 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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