Ruizhe Ma

615 total citations
43 papers, 368 citations indexed

About

Ruizhe Ma is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Ruizhe Ma has authored 43 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 17 papers in Signal Processing and 10 papers in Information Systems. Recurrent topics in Ruizhe Ma's work include Time Series Analysis and Forecasting (14 papers), Data Management and Algorithms (7 papers) and Semantic Web and Ontologies (6 papers). Ruizhe Ma is often cited by papers focused on Time Series Analysis and Forecasting (14 papers), Data Management and Algorithms (7 papers) and Semantic Web and Ontologies (6 papers). Ruizhe Ma collaborates with scholars based in United States, China and Finland. Ruizhe Ma's co-authors include Rafal A. Angryk, Zongmin Ma, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi, Haiying Liu, Li Yan, Ismaila Temitayo Sanusi, Fred Martin, Joseph E. Gonzales and Jingwei Cheng and has published in prestigious journals such as Expert Systems with Applications, Pattern Recognition and Information Sciences.

In The Last Decade

Ruizhe Ma

38 papers receiving 357 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ruizhe Ma United States	12	174	107	65	58	47	43	368
Eric S. Téllez Mexico	12	175 1.0×	47 0.4×	47 0.7×	53 0.9×	38 0.8×	42	317
Thilo Stadelmann Switzerland	12	251 1.4×	187 1.7×	33 0.5×	112 1.9×	20 0.4×	63	482
Hatem Abdul-Kader Egypt	10	166 1.0×	43 0.4×	61 0.9×	40 0.7×	16 0.3×	49	333
Ed Waltz United States	4	206 1.2×	43 0.4×	35 0.5×	58 1.0×	50 1.1×	7	340
Nayer Wanas Egypt	12	228 1.3×	33 0.3×	147 2.3×	63 1.1×	24 0.5×	34	447
J. M. Soto-Hidalgo Spain	13	102 0.6×	27 0.3×	22 0.3×	146 2.5×	21 0.4×	61	393
Jianhua Chen China	10	118 0.7×	59 0.6×	52 0.8×	98 1.7×	11 0.2×	57	321
Andrey Kolobov United States	12	410 2.4×	42 0.4×	30 0.5×	51 0.9×	22 0.5×	25	503
Ruxin Zhao China	13	225 1.3×	64 0.6×	76 1.2×	66 1.1×	31 0.7×	30	406
Sreenivas Sremath Tirumala New Zealand	13	226 1.3×	183 1.7×	87 1.3×	46 0.8×	11 0.2×	29	422

Countries citing papers authored by Ruizhe Ma

Since Specialization

Citations

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

Fields of papers citing papers by Ruizhe Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruizhe Ma

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

Ma, Ruizhe, et al.. (2025). Reasoning temporal knowledge graph through neighboring and historical information aggregation. Knowledge and Information Systems. 67(12). 12579–12598.

Ma, Ruizhe, et al.. (2025). DiffAT: Effective data augmentation with diffusion models for time series forecasting. Engineering Applications of Artificial Intelligence. 161. 112091–112091.

Ma, Ruizhe, et al.. (2025). Machine Learning-Based Process Control for Injection Molding of Recycled Polypropylene. Polymers. 17(7). 940–940. 1 indexed citations

Khan, Nasrullah, Zongmin Ma, Ruizhe Ma, & Kemal Polat. (2024). Continual knowledge graph embedding enhancement for joint interaction-based next click recommendation. Knowledge-Based Systems. 304. 112475–112475. 5 indexed citations

Jia, Wei, et al.. (2024). Joint entity and relation extraction with table filling based on graph convolutional Networks. Expert Systems with Applications. 266. 126130–126130. 2 indexed citations

Ma, Ruizhe, et al.. (2024). Time-aware structure matching for temporal knowledge graph alignment. Data & Knowledge Engineering. 151. 102300–102300. 1 indexed citations

Ma, Ruizhe, et al.. (2024). f-KGQA: A fuzzy question answering system for knowledge graphs. Fuzzy Sets and Systems. 498. 109117–109117. 4 indexed citations

Ma, Ruizhe, et al.. (2024). An Efficient NoSQL-Based Storage Schema for Large-Scale Time Series Data. Journal of Database Management. 35(1). 1–21.

Ma, Ruizhe, et al.. (2024). Spatial and temporal twin-guided pattern recurrent graph network for implementing reasoning of spatiotemporal knowledge graph. Information Processing & Management. 62(1). 103942–103942. 1 indexed citations

10.

Ma, Ruizhe, et al.. (2023). Modeling and querying temporal RDF knowledge graphs with relational databases. Journal of Intelligent Information Systems. 61(2). 569–609. 5 indexed citations

11.

Ma, Ruizhe, et al.. (2023). T-GAE: A Timespan-aware Graph Attention-based Embedding Model for Temporal Knowledge Graph Completion. Information Sciences. 642. 119225–119225. 17 indexed citations

12.

Ma, Ruizhe, et al.. (2023). Developing Machine Learning Algorithm Literacy with Novel Plugged and Unplugged Approaches. 298–304. 27 indexed citations

13.

Ma, Ruizhe, Rafal A. Angryk, & Rafał Scherer. (2022). Special issue on deep learning for time series data. Neural Computing and Applications. 34(16). 13147–13148. 1 indexed citations

14.

Ma, Ruizhe, et al.. (2021). Two-stage prediction of machinery fault trend based on deep learning for time series analysis. Digital Signal Processing. 117. 103150–103150. 23 indexed citations

15.

Liu, Haiying, et al.. (2021). Machinery Fault Diagnosis Based on Deep Learning for Time Series Analysis and Knowledge Graphs. Journal of Signal Processing Systems. 93(12). 1433–1455. 50 indexed citations

16.

Ma, Ruizhe, Azim Ahmadzadeh, Soukaïna Filali Boubrahimi, & Rafal A. Angryk. (2018). Segmentation of Time Series in Improving Dynamic Time Warping. 3756–3761. 3 indexed citations

17.

Wang, Chenghua, et al.. (2018). A Hardware/Software Co-design Method for Approximate Semi-Supervised K-Means Clustering. 575–580. 6 indexed citations

18.

Ma, Ruizhe, Rafal A. Angryk, Pete Riley, & Soukaïna Filali Boubrahimi. (2018). Coronal Mass Ejection Data Clustering and Visualization of Decision Trees. The Astrophysical Journal Supplement Series. 236(1). 14–14. 13 indexed citations

19.

Yan, Li, Ruizhe Ma, Dazhen Li, & Jingwei Cheng. (2017). RDF approximate queries based on semantic similarity. Computing. 99(5). 481–491. 10 indexed citations

20.

Ma, Ruizhe & Rafal A. Angryk. (2017). Distance and Density Clustering for Time Series Data. 25–32. 23 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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