Ke Qin

2.0k total citations · 1 hit paper
93 papers, 1.4k citations indexed

About

Ke Qin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Ke Qin has authored 93 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Artificial Intelligence, 26 papers in Computer Vision and Pattern Recognition and 18 papers in Computer Networks and Communications. Recurrent topics in Ke Qin's work include Topic Modeling (18 papers), Natural Language Processing Techniques (12 papers) and Neural Networks and Applications (9 papers). Ke Qin is often cited by papers focused on Topic Modeling (18 papers), Natural Language Processing Techniques (12 papers) and Neural Networks and Applications (9 papers). Ke Qin collaborates with scholars based in China, Canada and United States. Ke Qin's co-authors include Guangchun Luo, Chunbao Li, Chunhu Li, Ling Tian, Guangyi Chen, Shen‐En Qian, Guoming Lu, Yongsheng Yang, Bo Li and Bing Xiao and has published in prestigious journals such as IEEE Access, Sensors and Information Sciences.

In The Last Decade

Ke Qin

79 papers receiving 1.3k 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.

An image encryption scheme based on chaotic tent map

2016 374 citations Guangchun Luo, Ke Qin et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ke Qin China	17	470	454	226	157	155	93	1.4k
Bin Gu China	17	611 1.3×	847 1.9×	174 0.8×	153 1.0×	37 0.2×	108	1.7k
Guangchun Luo China	21	624 1.3×	767 1.7×	285 1.3×	579 3.7×	155 1.0×	95	2.1k
Jianghui Cai China	17	220 0.5×	690 1.5×	283 1.3×	234 1.5×	54 0.3×	73	1.4k
Nan Zhang China	24	455 1.0×	760 1.7×	163 0.7×	264 1.7×	41 0.3×	155	1.9k
Yiguang Liu China	23	634 1.3×	398 0.9×	239 1.1×	69 0.4×	110 0.7×	106	1.5k
Yu Liu China	22	595 1.3×	522 1.1×	124 0.5×	82 0.5×	29 0.2×	167	1.9k
Lifeng Wang China	11	276 0.6×	475 1.0×	111 0.5×	117 0.7×	147 0.9×	25	1.2k
Aijia Ouyang China	19	250 0.5×	424 0.9×	242 1.1×	152 1.0×	71 0.5×	62	1.1k
Pengcheng Wei China	18	585 1.2×	298 0.7×	296 1.3×	260 1.7×	131 0.8×	72	1.3k

Countries citing papers authored by Ke Qin

Since Specialization

Citations

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

Fields of papers citing papers by Ke Qin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ke Qin

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

1.

Liu, Guisong, et al.. (2025). Enhancing sparse triplet overlapping relation extraction using triaxial syntactic fusion approach. Knowledge-Based Systems. 329. 114387–114387.

2.

Liang, Shuang, et al.. (2025). TopoLLM: LLM-driven adaptive tool learning for real-time emergency network topology planning. Digital Communications and Networks. 12(2). 273–282.

3.

Zakari, Rufai Yusuf, et al.. (2025). Seeing and Reasoning: A Simple Deep Learning Approach to Visual Question Answering. Big Data Mining and Analytics. 8(2). 458–478.

4.

Xie, Xiurui, et al.. (2025). Toward lightweight image super-resolution via re-parameterized kernel recalibration. Knowledge-Based Systems. 325. 113876–113876.

5.

Zakari, Rufai Yusuf, et al.. (2025). VQA and Visual Reasoning: An overview of approaches, datasets, and future direction. Neurocomputing. 622. 129345–129345.

6.

Qin, Ke, et al.. (2024). EiGC: An Event-Induced Graph with Constraints for Event Causality Identification. Electronics. 13(23). 4608–4608. 1 indexed citations

7.

He, Tao, et al.. (2024). CVIformer: Cross-View Interactive Transformer for Efficient Stereoscopic Image Super-Resolution. IEEE Transactions on Emerging Topics in Computational Intelligence. 9(2). 1107–1118. 1 indexed citations

8.

Qin, Ke, et al.. (2024). GKA-GPT: Graphical knowledge aggregation for multiturn dialog generation. Knowledge-Based Systems. 309. 112763–112763. 1 indexed citations

9.

Fu, Yingjie, Hui Xi, Dingzhong Wang, et al.. (2024). Technological innovations and applications of human olfaction analysis. TrAC Trends in Analytical Chemistry. 182. 118065–118065. 1 indexed citations

10.

Qin, Ke, et al.. (2024). ToFC: Tree-of-Fact with Continued Best-First Search for Commonsense Reasoning. 1–8.

11.

Luo, Yi, et al.. (2023). Edge convolutional networks: Decomposing graph convolutional networks for stochastic training with independent edges. Neurocomputing. 549. 126430–126430. 1 indexed citations

12.

Lu, Guoming, et al.. (2023). An Extractive Text Summarization Based on Reinforcement Learning. 19–25. 1 indexed citations

13.

Wu, Huijuan, Siqi Yang, Xinyu Liu, et al.. (2021). Simultaneous Extraction of Multi-Scale Structural Features and the Sequential Information With an End-To-End mCNN-HMM Combined Model for Fiber Distributed Acoustic Sensor. Journal of Lightwave Technology. 39(20). 6606–6616. 23 indexed citations

14.

Wang, Junren, et al.. (2021). Research on the Construction and Application of Breast Cancer-Specific Database System Based on Full Data Lifecycle. Frontiers in Public Health. 9. 712827–712827. 8 indexed citations

15.

Li, Bo, Ke Qin, Bing Xiao, & Yongsheng Yang. (2019). Finite-time Extended State Observer based fault tolerant output feedback control for attitude stabilization. ISA Transactions. 91. 11–20. 100 indexed citations

16.

Li, Xinyu, et al.. (2019). Ship Course Prediction Based on Self-adapting PSO-BP Neural Network Model. 16. 21–24. 1 indexed citations

17.

Qin, Ke & B. John Oommen. (2013). Logistic Neural Networks: Their chaotic and pattern recognition properties. Neurocomputing. 125. 184–194. 11 indexed citations

18.

Lu, Gang, et al.. (2008). A Survey of Proximity Graphs in Wireless Networks. 8 indexed citations

19.

Qin, Ke. (2006). Accessing Web Service via J2ME/MIDP Mobile Application. 1 indexed citations

20.

Qin, Ke. (2005). Method of knowledge reduction based on consistent rules. Journal of Hefei University of Technology. 1 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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