Kejing He

554 total citations
46 papers, 354 citations indexed

About

Kejing He is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Kejing He has authored 46 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 14 papers in Computer Networks and Communications and 12 papers in Information Systems. Recurrent topics in Kejing He's work include Topic Modeling (6 papers), Cloud Computing and Resource Management (5 papers) and Advanced Text Analysis Techniques (5 papers). Kejing He is often cited by papers focused on Topic Modeling (6 papers), Cloud Computing and Resource Management (5 papers) and Advanced Text Analysis Techniques (5 papers). Kejing He collaborates with scholars based in China and United States. Kejing He's co-authors include Shoubin Dong, Zhaoyao Zhou, Shubo Chen, Yanhua Chen, Xiaojiang Liu, Ruifeng Xu, Jian Wang, Liqun Tang, Chunmiao Zheng and Quanlong Guan and has published in prestigious journals such as IEEE Access, Computers & Geosciences and Computers & Mathematics with Applications.

In The Last Decade

Kejing He

43 papers receiving 332 citations

Peers

Countries citing papers authored by Kejing He

Since Specialization

Citations

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

Fields of papers citing papers by Kejing He

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kejing He

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	MTMDC-GAN: Self-Attention Driven Multi-Scale Temporal Synthesis with Multi-Domain Analysis and Contrastive Learning 2025 ·Wei Zhi, Kejing He	0
2	Affective Prompt-Tuning-Based Language Model for Semantic-Based Emotional Text Generation 2024 ·International Journal on Semantic Web and Information Systems ·(unknown), Kejing He	8
3	A self-adaptive density-based clustering algorithm for varying densities datasets with strong disturbance factor 2024 ·Data & Knowledge Engineering ·(unknown), (unknown), Kejing He	3
4	A Hierarchical Attention-Based Method for Sleep Staging Using Movement and Cardiopulmonary Signals 2022 ·IEEE Journal of Biomedical and Health Informatics ·(unknown), (unknown), Kejing He, (unknown)	8
5	Majority-to-minority resampling for boosting-based classification under imbalanced data 2022 ·Applied Intelligence ·(unknown), Jian Wang, Kejing He	17
6	A robust unsupervised anomaly detection framework 2021 ·Applied Intelligence ·(unknown), Kejing He, (unknown)	5
7	PEAB: A pool-based distributed evolutionary algorithm model with buffer 2021 ·Parallel Computing ·(unknown), Kejing He, (unknown)	1
8	Adaptive Density-Based Spatial Clustering for Massive Data Analysis 2020 ·IEEE Access ·(unknown), (unknown), Kejing He	23
9	Improving Destination Prediction via Ensemble of Trajectory Movement Separation and Adaptive Clustering 2020 ·IEEE Access ·(unknown), (unknown), Kejing He	5
10	Improving Knowledge-Aware Dialogue Generation via Knowledge Base Question Answering 2020 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), (unknown), Wei Bi, Xiaojiang Liu, Kejing He, Ruifeng Xu, Min Yang	31
11	CBMR: An optimized MapReduce for item‐based collaborative filtering recommendation algorithm with empirical analysis 2017 ·Concurrency and Computation Practice and Experience ·(unknown), Kejing He	22
12	High accuracy complete elliptic integrals for solving the Hertzian elliptical contact problems 2016 ·Computers & Mathematics with Applications ·Kejing He, Xiaoqiang Zhou, Qian Lin	2
13	Deduplication of files in cloud storage based on differential bloom filter 2016 ·(unknown), Kejing He, (unknown), (unknown)	3
14	Structure-based classification of web documents using Support Vector Machine 2016 ·Kejing He, (unknown)	5
15	Simulation of the projectile dynamics in granular media 2013 ·Acta Physica Sinica ·Kejing He, Jincheng Zhang, (unknown)	1
16	Towards Effective Bus Lane Monitoring Using Camera Sensors 2011 ·Wireless Sensor Network ·Xu Li, (unknown), Kejing He	1
17	Analysis of RC4 Stream Cipher and Microsoft Office Document Security 2009 ·Jisuanji gongcheng ·Kejing He	2
18	A hybrid metaheuristic for the 2D orthogonal Cutting Stock Problem 2009 ·Kejing He, (unknown), (unknown)	0
19	A secure, lossless, and compressed Base62 encoding 2008 ·Kejing He, (unknown), (unknown)	2
20	Multigrid contact detection method 2007 ·Physical Review E ·Kejing He, Shoubin Dong, Zhaoyao Zhou	28

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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