Lixin Cui

1.0k total citations · 2 hit papers
50 papers, 666 citations indexed

About

Lixin Cui is a scholar working on Artificial Intelligence, Management Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lixin Cui has authored 50 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 7 papers in Management Information Systems and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lixin Cui's work include Advanced Graph Neural Networks (18 papers), Quantum Computing Algorithms and Architecture (8 papers) and Supply Chain and Inventory Management (6 papers). Lixin Cui is often cited by papers focused on Advanced Graph Neural Networks (18 papers), Quantum Computing Algorithms and Architecture (8 papers) and Supply Chain and Inventory Management (6 papers). Lixin Cui collaborates with scholars based in China, United Kingdom and United States. Lixin Cui's co-authors include Lu Bai, Edwin R. Hancock, Ming Li, Luca Rossi, Philip S. Yu, Yuhang Jiao, Zhao Li, Min Zhang, Xindong Wu and Zhihong Zhang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Industrial & Engineering Chemistry Research and Journal of Ethnopharmacology.

In The Last Decade

Lixin Cui

47 papers receiving 656 citations

Hit Papers

BLoG: Bootstrapped graph representation learning with loc... 2023 2026 2024 2025 2023 2024 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lixin Cui China 16 355 141 82 80 74 50 666
Yuanzhi Li United States 14 397 1.1× 116 0.8× 81 1.0× 49 0.6× 27 0.4× 49 756
Zuzana Komínková Oplatková Czechia 15 331 0.9× 81 0.6× 102 1.2× 97 1.2× 30 0.4× 105 705
Qiang Cheng United States 16 316 0.9× 478 3.4× 60 0.7× 31 0.4× 30 0.4× 55 949
Meili Tang China 10 439 1.2× 172 1.2× 212 2.6× 136 1.7× 24 0.3× 23 827
Yee Ling Boo Australia 7 306 0.9× 58 0.4× 136 1.7× 37 0.5× 41 0.6× 22 522
Boris Kovalerchuk United States 13 343 1.0× 133 0.9× 91 1.1× 13 0.2× 30 0.4× 98 761
Yuanzhu Chen Canada 18 222 0.6× 89 0.6× 74 0.9× 37 0.5× 158 2.1× 80 1.3k
Hoda Mashayekhi Iran 14 340 1.0× 86 0.6× 203 2.5× 29 0.4× 19 0.3× 38 808
Giuliano Armano Italy 15 415 1.2× 102 0.7× 120 1.5× 54 0.7× 122 1.6× 94 942
Jesús Cerquides Spain 17 404 1.1× 77 0.5× 122 1.5× 24 0.3× 53 0.7× 86 940

Countries citing papers authored by Lixin Cui

Since Specialization
Citations

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

Fields of papers citing papers by Lixin Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lixin Cui

This figure shows the co-authorship network connecting the top 25 collaborators of Lixin Cui. A scholar is included among the top collaborators of Lixin Cui 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 Lixin Cui. Lixin Cui 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.
Bai, Lu, Lixin Cui, Ming Li, et al.. (2025). AEGK: Aligned Entropic Graph Kernels Through Continuous-Time Quantum Walks. IEEE Transactions on Knowledge and Data Engineering. 37(3). 1064–1078. 1 indexed citations
2.
Liu, Xiaolin, Yupeng Zhang, Lixin Cui, et al.. (2024). Plasma-Catalyzed One-Step Synthesis of Alcohols from CO2 over Cu/γ-Al2O3 Catalyst. Industrial & Engineering Chemistry Research. 63(2). 1170–1178. 3 indexed citations
3.
Li, Ming, et al.. (2024). Multimodal graph learning with framelet-based stochastic configuration networks for emotion recognition in conversation. Information Sciences. 686. 121393–121393. 15 indexed citations
4.
Cui, Lixin, et al.. (2024). Chemical kinetics and numerical simulation of NO emission characteristics in CH4/NH3/air flame. Reaction Chemistry & Engineering. 9(6). 1579–1589. 2 indexed citations
5.
Bai, Lu, Lixin Cui, Ming Li, et al.. (2024). HAQJSK: Hierarchical-Aligned Quantum Jensen-Shannon Kernels for Graph Classification. IEEE Transactions on Knowledge and Data Engineering. 36(11). 6370–6384. 65 indexed citations breakdown →
6.
Li, Ming, Lin Zhang, Lixin Cui, et al.. (2023). BLoG: Bootstrapped graph representation learning with local and global regularization for recommendation. Pattern Recognition. 144. 109874–109874. 80 indexed citations breakdown →
9.
Cui, Lixin, Ming Li, Lu Bai, et al.. (2023). QBER: Quantum-based Entropic Representations for un-attributed graphs. Pattern Recognition. 145. 109877–109877. 3 indexed citations
10.
Bai, Lu, Yuhang Jiao, Lixin Cui, et al.. (2022). Learning Graph Convolutional Networks based on Quantum Vertex Information Propagation (Extended Abstract). 2022 IEEE 38th International Conference on Data Engineering (ICDE). 3132–3133. 1 indexed citations
11.
Cui, Lixin, et al.. (2021). Fused lasso for feature selection using structural information. Pattern Recognition. 119. 108058–108058. 35 indexed citations
12.
Xu, Lixiang, Lixin Cui, Thomas Weise, et al.. (2021). Semi-supervised multi-Layer convolution kernel learning in credit evaluation. Pattern Recognition. 120. 108125–108125. 15 indexed citations
13.
Wang, Yue, Zhuo Xu, Lu Bai, et al.. (2021). Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks. 278–285. 2 indexed citations
14.
Wang, Jian, et al.. (2020). Fusion-partitioning genetic task scheduling algorithm based on deterministic annealing technology in DAG blockchains. Scientia Sinica Informationis. 50(2). 261–274. 1 indexed citations
15.
Bai, Lu, et al.. (2020). Entropic Dynamic Time Warping Kernels for Co-Evolving Financial Time Series Analysis. IEEE Transactions on Neural Networks and Learning Systems. 34(4). 1808–1822. 37 indexed citations
16.
Cui, Lixin, et al.. (2020). Typical Correlation Score between Economic Development Speed and Employment Rate. Open Journal of Social Sciences. 8(9). 221–228.
17.
Zhang, Jinxia, et al.. (2019). Wind Power Generation Prediction Based on LSTM. 85–89. 21 indexed citations
18.
Wan, Yao, et al.. (2019). Competitive Multi-agent Deep Reinforcement Learning with Counterfactual Thinking. 1366–1371. 5 indexed citations
19.
20.
Wang, Shiyang, Lixin Cui, Chao Wang, & Sheng Huang. (2012). Resistance performance of submarine under different traveling stations. World Automation Congress. 1–4. 2 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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