Ting Guo

600 total citations
50 papers, 375 citations indexed

About

Ting Guo is a scholar working on Artificial Intelligence, Information Systems and Automotive Engineering. According to data from OpenAlex, Ting Guo has authored 50 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 7 papers in Information Systems and 6 papers in Automotive Engineering. Recurrent topics in Ting Guo's work include Advanced Graph Neural Networks (8 papers), Complex Network Analysis Techniques (5 papers) and Experimental Behavioral Economics Studies (3 papers). Ting Guo is often cited by papers focused on Advanced Graph Neural Networks (8 papers), Complex Network Analysis Techniques (5 papers) and Experimental Behavioral Economics Studies (3 papers). Ting Guo collaborates with scholars based in China, Australia and United States. Ting Guo's co-authors include Xingquan Zhu, Chengqi Zhang, Yang Wang, Shirui Pan, Shuihua Wang‎, Yudong Zhang, Fang Chen, Hongjian Lu, Na Yang and Zefan Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Pattern Recognition.

In The Last Decade

Ting Guo

42 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ting Guo China	11	153	56	55	46	27	50	375
Lijun Liu China	11	126 0.8×	51 0.9×	28 0.5×	29 0.6×	57 2.1×	46	370
Conghuan Ye China	10	101 0.7×	36 0.6×	200 3.6×	52 1.1×	12 0.4×	43	456
Yangxi Li China	15	315 2.1×	48 0.9×	386 7.0×	34 0.7×	28 1.0×	52	808
Yawei Zhao China	11	158 1.0×	20 0.4×	112 2.0×	42 0.9×	15 0.6×	60	442
Xu Zhou China	13	110 0.7×	20 0.4×	68 1.2×	17 0.4×	20 0.7×	54	461
Shikai Guo China	10	163 1.1×	17 0.3×	45 0.8×	215 4.7×	21 0.8×	73	496
Quan Lin China	12	180 1.2×	71 1.3×	58 1.1×	184 4.0×	21 0.8×	27	455
Zixuan Li China	11	119 0.8×	9 0.2×	47 0.9×	15 0.3×	22 0.8×	42	337
Alexander Karlsson Sweden	10	132 0.9×	8 0.1×	40 0.7×	22 0.5×	23 0.9×	37	418

Countries citing papers authored by Ting Guo

Since Specialization

Citations

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

Fields of papers citing papers by Ting Guo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Guo

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

Guo, Ting. (2025). Religion, Secularism, and Love as a Political Discourse in Modern China. Amsterdam University Press eBooks.

Stenfors, Alexis, et al.. (2025). Shadow trading detection: A graph-based surveillance approach. Finance research letters. 86. 108524–108524.

Zhang, Fan, et al.. (2025). Degradation analysis of catalyst layer in PEMFCs under voltage cycling conditions. Journal of Physics Conference Series. 2932(1). 12046–12046. 1 indexed citations

Zhang, Fan, Meng Ni, Bingfeng Zu, et al.. (2025). Machine learning assisted health status analysis and degradation prediction of aging proton exchange membrane fuel cells. Applied Energy. 384. 125483–125483. 6 indexed citations

Yin, Yan, et al.. (2024). Prediction Optimization Study of Strapping Parameters for In-Vehicle Hydrogen Storage Cylinders under Random Vibration based on GA-XGBoost. 104–109. 1 indexed citations

Liu, Xin, Benyou Wang, Jiezhong Qiu, et al.. (2023). Spatio-temporal Contrastive Learning-enhanced GNNs for Session-based Recommendation. ACM Transactions on Information Systems. 42(2). 1–26. 11 indexed citations

Guo, Ting, et al.. (2023). Admission-Based Reinforcement-Learning Algorithm in Sequential Social Dilemmas. Applied Sciences. 13(3). 1807–1807. 4 indexed citations

Guo, Ting, et al.. (2023). Self-Adaptive Predictive Passenger Flow Modeling for Large-Scale Railway Systems. IEEE Internet of Things Journal. 10(16). 14182–14196. 4 indexed citations

Guo, Ting, et al.. (2022). Extensible Hierarchical Multi-Agent Reinforcement-Learning Algorithm in Traffic Signal Control. Applied Sciences. 12(24). 12783–12783. 3 indexed citations

10.

Luo, Rui, et al.. (2021). A BERT-Based Hybrid Short Text Classification Model Incorporating CNN and Attention-Based BiGRU. Journal of Organizational and End User Computing. 33(6). 1–21. 27 indexed citations

11.

Yuan, Yuyu, et al.. (2021). A Trusted Solution to Hyperledger Fabric Reordering Problem. 202–207. 1 indexed citations

12.

Chen, Liang, et al.. (2020). Overview of Reinforcement Learning Based on Value and Policy. 598–603. 11 indexed citations

13.

Zheng, Yu, Ruiqi Hu, Sai-fu Fung, et al.. (2019). Clustering social audiences in business information networks. Pattern Recognition. 100. 107126–107126. 18 indexed citations

14.

Guo, Ting, et al.. (2019). A conditional Bayesian delay propagation model for large-scale railway traffic networks. UTS ePRESS (University of Technology Sydney). 3 indexed citations

15.

Guo, Ting, Xingquan Zhu, Yang Wang, & Fang Chen. (2019). Discriminative Sample Generation for Deep Imbalanced Learning. 2406–2412. 16 indexed citations

16.

Guo, Ting, Shirui Pan, Xingquan Zhu, & Chengqi Zhang. (2018). CFOND: Consensus Factorization for Co-Clustering Networked Data. IEEE Transactions on Knowledge and Data Engineering. 31(4). 706–719. 36 indexed citations

17.

Zhang, Bang, et al.. (2018). Simultaneous Urban Region Function Discovery and Popularity Estimation via an Infinite Urbanization Process Model. 2692–2700. 7 indexed citations

18.

Guo, Ting, Jia Wu, Xingquan Zhu, & Chengqi Zhang. (2017). Combining Structured Node Content and Topology Information for Networked Graph Clustering. ACM Transactions on Knowledge Discovery from Data. 11(3). 1–29. 10 indexed citations

19.

Lin, Peng, et al.. (2016). Infinite hidden semi-Markov modulated interaction point process. 29. 3907–3915. 2 indexed citations

20.

Guo, Ting, et al.. (2014). Reverse twin plant for efficient diagnosability testing and optimizing. Engineering Applications of Artificial Intelligence. 38. 131–137. 4 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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