Jian Kang

805 total citations
48 papers, 486 citations indexed

About

Jian Kang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Jian Kang has authored 48 papers receiving a total of 486 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 11 papers in Signal Processing. Recurrent topics in Jian Kang's work include Speech Recognition and Synthesis (14 papers), Music and Audio Processing (11 papers) and Speech and Audio Processing (8 papers). Jian Kang is often cited by papers focused on Speech Recognition and Synthesis (14 papers), Music and Audio Processing (11 papers) and Speech and Audio Processing (8 papers). Jian Kang collaborates with scholars based in China, Japan and Canada. Jian Kang's co-authors include Haiyan Guan, Kehua Guo, Jia Liu, Lingfei Ma, Wei-Qiang Zhang, Jonathan Li, Yue Fan, Daifeng Peng, Zhengxu Zhou and Yiping Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

In The Last Decade

Jian Kang

46 papers receiving 463 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jian Kang China 11 217 131 64 63 38 48 486
Dalil Hadjout Spain 3 157 0.7× 97 0.7× 34 0.5× 23 0.4× 80 2.1× 4 514
Gaurang Panchal India 5 88 0.4× 76 0.6× 57 0.9× 30 0.5× 50 1.3× 8 402
King Ma Canada 4 109 0.5× 71 0.5× 16 0.3× 24 0.4× 40 1.1× 11 348
Alhassan Mumuni Ghana 7 137 0.6× 28 0.2× 131 2.0× 28 0.4× 25 0.7× 11 531
Fuseini Mumuni Ghana 7 137 0.6× 28 0.2× 131 2.0× 28 0.4× 25 0.7× 12 535
Maofa Wang China 11 154 0.7× 20 0.2× 53 0.8× 16 0.3× 25 0.7× 56 398
Hannes Vietz Germany 5 107 0.5× 35 0.3× 33 0.5× 11 0.2× 35 0.9× 9 424
Sandip Vijay India 10 34 0.2× 50 0.4× 46 0.7× 33 0.5× 71 1.9× 72 384
Adriaan Brebels Russia 4 88 0.4× 33 0.3× 21 0.3× 27 0.4× 41 1.1× 8 364

Countries citing papers authored by Jian Kang

Since Specialization
Citations

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

Fields of papers citing papers by Jian Kang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jian Kang

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

All Works

20 of 20 papers shown
1.
Liu, Bin, Jian Kang, Haiyan Guan, et al.. (2024). RTCNet: A novel real-time triple branch network for pavement crack semantic segmentation. International Journal of Applied Earth Observation and Geoinformation. 136. 104347–104347. 1 indexed citations
2.
3.
Yang, Dongliang, Jian Kang, Yuanhao Li, et al.. (2023). Development of a predictive nomogram for acute respiratory distress syndrome in patients with acute pancreatitis complicated with acute kidney injury. Renal Failure. 45(2). 2251591–2251591. 5 indexed citations
4.
Sun, Yuming, Stephen Salerno, Xinwei He, et al.. (2023). Use of machine learning to assess the prognostic utility of radiomic features for in-hospital COVID-19 mortality. Scientific Reports. 13(1). 7318–7318. 7 indexed citations
5.
Kang, Jian, et al.. (2023). WaterFormer: A coupled transformer and CNN network for waterbody detection in optical remotely-sensed imagery. ISPRS Journal of Photogrammetry and Remote Sensing. 206. 222–241. 19 indexed citations
6.
Guo, Kehua, et al.. (2022). Federated Learning Empowered Real-Time Medical Data Processing Method for Smart Healthcare. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 21(4). 869–879. 39 indexed citations
7.
Guo, Kehua, et al.. (2022). LesionTalk: Core Data Extraction and Multi-class Lesion Detection in IoT-based Intelligent Healthcare. ACM Transactions on Sensor Networks. 19(3). 1–20. 3 indexed citations
8.
Yang, Dongliang, Li Zhao, Jian Kang, et al.. (2022). Development and validation of a predictive model for acute kidney injury in patients with moderately severe and severe acute pancreatitis. Clinical and Experimental Nephrology. 26(8). 770–787. 17 indexed citations
9.
Kang, Jian, et al.. (2022). Calligraphy Character Detection Based on Deep Convolutional Neural Network. Applied Sciences. 12(19). 9488–9488. 2 indexed citations
11.
Guan, Haiyan, Jian Kang, Lingfei Ma, et al.. (2022). Pavement crack detection from CCD images with a locally enhanced transformer network. International Journal of Applied Earth Observation and Geoinformation. 110. 102825–102825. 68 indexed citations
12.
Kang, Jian, Haiyan Guan, Daifeng Peng, & Ziyi Chen. (2021). Multi-scale context extractor network for water-body extraction from high-resolution optical remotely sensed images. International Journal of Applied Earth Observation and Geoinformation. 103. 102499–102499. 35 indexed citations
13.
Kang, Jian & Begüm Demir. (2020). Band-Wise Multi-Scale CNN Architecture for Remote Sensing Image Scene Classification. 1687–1690. 1 indexed citations
14.
Fan, Yue, et al.. (2020). CN-Celeb: A Challenging Chinese Speaker Recognition Dataset. 7604–7608. 90 indexed citations
15.
Cao, Rui, et al.. (2020). An Efficient High-Quality Medical Lesion Image Data Labeling Method Based on Active Learning. IEEE Access. 8. 144331–144342. 7 indexed citations
16.
Cao, Rui, Kehua Guo, Jianhua Ma, & Jian Kang. (2018). A Deep Convolutional Neural Network-Based Label Completion and Correction Strategy for Supervised Medical Image Learning. 1725–1730. 1 indexed citations
17.
Kang, Jian, Wei-Qiang Zhang, & Jia Liu. (2017). Gated convolutional networks based hybrid acoustic models for low resource speech recognition. 9. 157–164. 7 indexed citations
18.
Cai, Meng, et al.. (2014). Convolutional maxout neural networks for low-resource speech recognition. 133–137. 14 indexed citations
19.
Gao, Jian, et al.. (2006). Extraction and purification of magnetic nanoparticles from strain of Leptospirillum ferriphilum. Transactions of Nonferrous Metals Society of China. 16(6). 1417–1420. 8 indexed citations
20.
Kang, Jian. (1999). The composition of the perfective aspect in Mandarin Chinese. UMI Dissertation Services eBooks. 7 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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