Miao Kang

1.3k total citations · 1 hit paper
21 papers, 971 citations indexed

About

Miao Kang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Miao Kang has authored 21 papers receiving a total of 971 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 4 papers in Aerospace Engineering. Recurrent topics in Miao Kang's work include Neural Networks and Applications (6 papers), Fuzzy Logic and Control Systems (4 papers) and Autonomous Vehicle Technology and Safety (3 papers). Miao Kang is often cited by papers focused on Neural Networks and Applications (6 papers), Fuzzy Logic and Control Systems (4 papers) and Autonomous Vehicle Technology and Safety (3 papers). Miao Kang collaborates with scholars based in China, United Kingdom and Switzerland. Miao Kang's co-authors include Kefeng Ji, Xiangguang Leng, Zhao Lin, Huanxin Zou, Dominic Palmer-Brown, Xiangwei Xing, Xiaojun Hu, Matthew R. Scott, Mauricio Reyes and Weilin Huang and has published in prestigious journals such as Sensors, Information Sciences and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Miao Kang

19 papers receiving 948 citations

Hit Papers

align trajectories

What are hit papers?

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.

Contextual Region-Based Convolutional Neural Network with Multilayer Fusion for SAR Ship Detection

2017 290 citations Miao Kang, Kefeng Ji et al. Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Miao Kang China	10	578	452	212	138	135	21	971
Xiaowo Xu China	12	686 1.2×	541 1.2×	155 0.7×	229 1.7×	133 1.0×	32	1.0k
Nengyuan Liu China	13	651 1.1×	548 1.2×	172 0.8×	145 1.1×	150 1.1×	21	1.1k
Jianwei Li China	13	1.3k 2.2×	1.0k 2.2×	268 1.3×	413 3.0×	199 1.5×	38	1.8k
Sijia Feng China	13	429 0.7×	127 0.3×	179 0.8×	88 0.6×	52 0.4×	18	604
Guanying Huo China	14	109 0.2×	244 0.5×	156 0.7×	198 1.4×	66 0.5×	63	705
Yongqiang Yao China	5	360 0.6×	1.2k 2.7×	76 0.4×	32 0.2×	227 1.7×	16	1.6k
Zhen Ye China	17	160 0.3×	265 0.6×	54 0.3×	52 0.4×	330 2.4×	63	803
Hai Huang China	12	109 0.2×	312 0.7×	202 1.0×	60 0.4×	45 0.3×	54	624
Erickson R. Nascimento Brazil	16	180 0.3×	1.5k 3.3×	86 0.4×	65 0.5×	544 4.0×	59	1.7k
Hyun‐Taek Choi South Korea	15	382 0.7×	342 0.8×	677 3.2×	160 1.2×	27 0.2×	122	1.1k

Countries citing papers authored by Miao Kang

Since Specialization

Citations

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

Fields of papers citing papers by Miao Kang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miao Kang

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

20 of 20 papers shown

Kang, Miao, et al.. (2024). FFINet: Future Feedback Interaction Network for Motion Forecasting. IEEE Transactions on Intelligent Transportation Systems. 25(9). 12285–12296. 10 indexed citations

Kang, Miao, Xiaojun Hu, Weilin Huang, Matthew R. Scott, & Mauricio Reyes. (2022). Dual-stream pyramid registration network. Medical Image Analysis. 78. 102379–102379. 79 indexed citations

Kang, Miao, et al.. (2022). Learning to predict diverse trajectory from human motion patterns. Neurocomputing. 504. 123–131. 1 indexed citations

Song, Xingchen, et al.. (2022). Pedestrian Intention Prediction Based on Traffic-Aware Scene Graph Model. 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 9851–9858. 9 indexed citations

Wang, Shengqi, Yuhao Huang, Miao Kang, Badong Chen, & Nanning Zheng. (2022). 3D-MBNet: Intention Based Multimodal Vehicle Trajectory Prediction with 3D Social Convolution. 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC). 880–887. 2 indexed citations

Zhu, Xiang, Miao Kang, Yifan Fei, Qi Zhang, & Rui Wang. (2021). Impact behavior of concrete-filled steel tube with cruciform reinforcing steel under lateral impact load. Engineering Structures. 247. 113104–113104. 26 indexed citations

Zhu, Chen, et al.. (2018). Research on Automated Nucleic Acid Extraction Instrument Based on Magnetic Nanoparticles Separation. Nanoscience and Nanotechnology Letters. 10(1). 60–68. 10 indexed citations

Lin, Zhao, Kefeng Ji, Miao Kang, Xiangguang Leng, & Huanxin Zou. (2017). Deep Convolutional Highway Unit Network for SAR Target Classification With Limited Labeled Training Data. IEEE Geoscience and Remote Sensing Letters. 14(7). 1091–1095. 194 indexed citations

Kang, Miao, Kefeng Ji, Xiangguang Leng, Xiangwei Xing, & Huanxin Zou. (2017). Synthetic Aperture Radar Target Recognition with Feature Fusion Based on a Stacked Autoencoder. Sensors. 17(1). 192–192. 94 indexed citations

10.

Kang, Miao, Xiangguang Leng, Zhao Lin, & Kefeng Ji. (2017). A modified faster R-CNN based on CFAR algorithm for SAR ship detection. 1–4. 202 indexed citations

11.

Kang, Miao, Kefeng Ji, Xiangguang Leng, & Zhao Lin. (2017). Contextual Region-Based Convolutional Neural Network with Multilayer Fusion for SAR Ship Detection. Remote Sensing. 9(8). 860–860. 290 indexed citations breakdown →

12.

Kang, Miao, et al.. (2017). How Perceived Factors of Review Contents Influence Consumers' Purchase Decision. 483–486. 2 indexed citations

13.

Palmer-Brown, Dominic, et al.. (2015). Identifying student group profiles for diagnostic feedback using snap-drift modal learning neural network. London Met Repository (London Metropolitan University). 5(2).

14.

Cheng, Zhichao, et al.. (2014). Machine Learning Based Prediction and Prevention of Malicious Inventory Occupied Orders. RePEc: Research Papers in Economics. 6(4). 56–72. 1 indexed citations

15.

Palmer-Brown, Dominic, et al.. (2009). Modal learning neural networks. UEL Research Repository (University of East London). 8(2). 222–236. 4 indexed citations

16.

Kang, Miao & Dominic Palmer-Brown. (2008). A modal learning adaptive function neural network applied to handwritten digit recognition. Information Sciences. 178(20). 3802–3812. 29 indexed citations

17.

Kang, Miao & Dominic Palmer-Brown. (2007). A Multi-layer ADaptive FUnction Neural Network (MADFUNN) for Letter Image Recognition. IEEE International Conference on Neural Networks. 1. 2817–2822. 2 indexed citations

18.

Kang, Miao & Dominic Palmer-Brown. (2006). A Multi-layer ADaptive FUnction Neural Network (MADFUNN) for Analytical Function Recognition. The 2006 IEEE International Joint Conference on Neural Network Proceedings. 1784–1789. 3 indexed citations

19.

Kang, Miao & Dominic Palmer-Brown. (2006). An Adaptive Function Neural Network (ADFUNN) Classifier. 1. 586–590. 3 indexed citations

20.

Kang, Miao & Dominic Palmer-Brown. (2006). An adaptive function neural network(ADFUNN) for phrase recognition. Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005.. 2. 593–597. 9 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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