Xiaolin Hong

429 total citations
12 papers, 317 citations indexed

About

Xiaolin Hong is a scholar working on Artificial Intelligence, Computer Networks and Communications and Economics and Econometrics. According to data from OpenAlex, Xiaolin Hong has authored 12 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 4 papers in Economics and Econometrics. Recurrent topics in Xiaolin Hong's work include Complex Systems and Time Series Analysis (4 papers), Time Series Analysis and Forecasting (3 papers) and Data Stream Mining Techniques (3 papers). Xiaolin Hong is often cited by papers focused on Complex Systems and Time Series Analysis (4 papers), Time Series Analysis and Forecasting (3 papers) and Data Stream Mining Techniques (3 papers). Xiaolin Hong collaborates with scholars based in China, Hong Kong and Slovenia. Xiaolin Hong's co-authors include Zhongke Gao, Kai Ma, Weidong Dang, Xinmin Wang, Matjaž Perc, Qingqing Zheng, Yefeng Zheng, Luyan Liu, Guanrong Chen and Dongmei Lv and has published in prestigious journals such as Chemical Engineering Journal, IEEE Transactions on Industrial Informatics and New Journal of Physics.

In The Last Decade

Xiaolin Hong

9 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaolin Hong China 7 191 54 44 43 40 12 317
Elnaz Lashgari United States 4 191 1.0× 41 0.8× 29 0.7× 36 0.8× 50 1.3× 8 289
Anurag Nishad India 7 167 0.9× 98 1.8× 33 0.8× 22 0.5× 85 2.1× 13 348
Chamandeep Kaur India 7 243 1.3× 28 0.5× 27 0.6× 38 0.9× 71 1.8× 14 336
Rubén D. Spies Argentina 10 187 1.0× 82 1.5× 16 0.4× 57 1.3× 61 1.5× 48 480
Muhammad Zeeshan Baig United Arab Emirates 10 260 1.4× 32 0.6× 79 1.8× 71 1.7× 79 2.0× 38 458
Yi Xia China 12 181 0.9× 60 1.1× 44 1.0× 74 1.7× 44 1.1× 30 392
Nalan Özkurt Türkiye 9 115 0.6× 36 0.7× 41 0.9× 20 0.5× 57 1.4× 47 284
Beate Meffert Germany 9 209 1.1× 24 0.4× 32 0.7× 27 0.6× 86 2.1× 37 359

Countries citing papers authored by Xiaolin Hong

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Hong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolin Hong

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

All Works

12 of 12 papers shown
1.
Hong, Xiaolin, et al.. (2024). Video Colorization Based on Variational Autoencoder. Electronics. 13(12). 2412–2412.
2.
Hong, Xiaolin, et al.. (2023). Nabla fractional distributed optimization algorithm with directed communication topology. 1–6. 2 indexed citations
5.
Hong, Xiaolin, Qingqing Zheng, Luyan Liu, et al.. (2021). Dynamic Joint Domain Adaptation Network for Motor Imagery Classification. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 29. 556–565. 86 indexed citations
6.
Gao, Zhongke, Weidong Dang, Xinmin Wang, et al.. (2020). Multitask-Based Temporal-Channelwise CNN for Parameter Prediction of Two-Phase Flows. IEEE Transactions on Industrial Informatics. 17(9). 6329–6336. 28 indexed citations
7.
Gao, Zhongke, Weidong Dang, Xinmin Wang, et al.. (2020). Complex networks and deep learning for EEG signal analysis. Cognitive Neurodynamics. 15(3). 369–388. 152 indexed citations
8.
Gao, Zhongke, et al.. (2020). Multilayer Network from Multiple Entropies for Characterizing Gas-Liquid Nonlinear Flow Behavior. International Journal of Bifurcation and Chaos. 30(1). 2050014–2050014. 11 indexed citations
9.
Gao, Zhongke, et al.. (2020). Multilayer limited penetrable visibility graph for characterizing the gas-liquid flow behavior. Chemical Engineering Journal. 407. 127229–127229. 12 indexed citations
10.
Gao, Zhongke, et al.. (2019). Multiresolution Multiplex Network for Analyzing Multichannel Fluid Flow Signals. IEEE Transactions on Circuits & Systems II Express Briefs. 67(10). 2179–2183. 1 indexed citations
11.
Gao, Zhongke, et al.. (2019). Complex Network Analysis of Wire-Mesh Sensor Measurements for Characterizing Vertical Gas–Liquid Two-Phase Flows. IEEE Transactions on Circuits & Systems II Express Briefs. 67(6). 1134–1138. 11 indexed citations
12.
Dang, Weidong, et al.. (2018). A novel time-frequency multilayer network for multivariate time series analysis. New Journal of Physics. 20(12). 125005–125005. 13 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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