Kang Ling

1.8k total citations · 2 hit papers
10 papers, 1.4k citations indexed

About

Kang Ling is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Human-Computer Interaction. According to data from OpenAlex, Kang Ling has authored 10 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Human-Computer Interaction. Recurrent topics in Kang Ling's work include Indoor and Outdoor Localization Technologies (4 papers), Hand Gesture Recognition Systems (3 papers) and Speech and Audio Processing (2 papers). Kang Ling is often cited by papers focused on Indoor and Outdoor Localization Technologies (4 papers), Hand Gesture Recognition Systems (3 papers) and Speech and Audio Processing (2 papers). Kang Ling collaborates with scholars based in China, United States and New Zealand. Kang Ling's co-authors include Alex X. Liu, Sanglu Lu, Muhammad Shahzad, Wei Wang, Wei Wang, Haipeng Dai, Wei Liu, Jianwei Bu, Qing Gu and Ke Sun and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, International Journal of Environmental Research and Public Health and IEEE Transactions on Mobile Computing.

In The Last Decade

Kang Ling

9 papers receiving 1.4k citations

Hit Papers

Understanding and Modeling of WiFi Signal Based Human Act... 2015 2026 2018 2022 2015 2017 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kang Ling China 7 1.0k 492 454 391 344 10 1.4k
Fusang Zhang China 21 835 0.8× 393 0.8× 208 0.5× 243 0.6× 255 0.7× 69 1.2k
Omid Abari United States 20 1.0k 1.0× 341 0.7× 123 0.3× 128 0.3× 143 0.4× 55 1.4k
Qingchang Zhu Singapore 9 557 0.5× 224 0.5× 336 0.7× 145 0.4× 122 0.4× 10 920
Chouchang Yang United States 8 614 0.6× 143 0.3× 140 0.3× 140 0.4× 83 0.2× 21 850
Mahanth Gowda United States 15 307 0.3× 143 0.3× 142 0.3× 95 0.2× 126 0.4× 43 674
Fuqiang Gu China 20 798 0.8× 170 0.3× 427 0.9× 172 0.4× 169 0.5× 62 1.3k
Nirupam Roy United States 12 375 0.4× 127 0.3× 238 0.5× 471 1.2× 80 0.2× 40 959
Bernhard Firner United States 13 512 0.5× 213 0.4× 185 0.4× 168 0.4× 85 0.2× 21 772
Valentin Radu United Kingdom 11 287 0.3× 133 0.3× 362 0.8× 119 0.3× 84 0.2× 30 724
Hamada Rizk Japan 18 691 0.7× 169 0.3× 190 0.4× 250 0.6× 68 0.2× 70 1000

Countries citing papers authored by Kang Ling

Since Specialization
Citations

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

Fields of papers citing papers by Kang Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kang Ling

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

All Works

10 of 10 papers shown
1.
Ling, Kang, et al.. (2020). SpiderMon: Towards Using Cell Towers as Illuminating Sources for Keystroke Monitoring. 666–675. 20 indexed citations
2.
Bu, Jianwei, et al.. (2020). Comparative Study of Hydrochemical Classification Based on Different Hierarchical Cluster Analysis Methods. International Journal of Environmental Research and Public Health. 17(24). 9515–9515. 47 indexed citations
3.
Ling, Kang, et al.. (2020). UltraGesture: Fine-Grained Gesture Sensing and Recognition. IEEE Transactions on Mobile Computing. 1–1. 48 indexed citations
4.
Dai, Haipeng, et al.. (2019). Speech Based Human Authentication on Smartphones. 1–9. 13 indexed citations
5.
Ling, Kang, et al.. (2018). UltraGesture: Fine-Grained Gesture Sensing and Recognition. 1–9. 62 indexed citations
6.
Wang, Wei, Alex X. Liu, Muhammad Shahzad, Kang Ling, & Sanglu Lu. (2017). Device-Free Human Activity Recognition Using Commercial WiFi Devices. IEEE Journal on Selected Areas in Communications. 35(5). 1118–1131. 382 indexed citations breakdown →
7.
Wang, Wei, Alex X. Liu, Muhammad Shahzad, Kang Ling, & Sanglu Lu. (2015). Understanding and Modeling of WiFi Signal Based Human Activity Recognition. 65–76. 816 indexed citations breakdown →
8.
Lin, Ying, et al.. (2010). Nanjing University in TRECVID 2010.. TRECVID. 1 indexed citations
9.
Lin, Ying, et al.. (2010). Content-based Copy Detection Task. 1 indexed citations
10.
Sivaswamy, Jayanthi, Zoran Salčić, & Kang Ling. (2001). A Real-Time Implementation of Nonlinear Unsharp Masking with FPLDs. Real-Time Imaging. 7(2). 195–202. 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.

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