Jiangtao Ma

556 total citations
38 papers, 387 citations indexed

About

Jiangtao Ma is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jiangtao Ma has authored 38 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 8 papers in Information Systems and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jiangtao Ma's work include Advanced Graph Neural Networks (15 papers), Topic Modeling (14 papers) and Recommender Systems and Techniques (5 papers). Jiangtao Ma is often cited by papers focused on Advanced Graph Neural Networks (15 papers), Topic Modeling (14 papers) and Recommender Systems and Techniques (5 papers). Jiangtao Ma collaborates with scholars based in China, India and Switzerland. Jiangtao Ma's co-authors include Yaqiong Qiao, Chenliang Li, Xiangyang Luo, Jianhua Liu, Guangwu Hu, Jiashun Liu, Xiangyu Wang, Qiqing Zhang, Shan Lin and Liang Huang and has published in prestigious journals such as PLoS ONE, Chemical Engineering Journal and IEEE Access.

In The Last Decade

Jiangtao Ma

32 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jiangtao Ma China 11 158 68 68 66 52 38 387
Qingkui Chen China 13 133 0.8× 145 2.1× 46 0.7× 11 0.2× 52 1.0× 75 487
Haibin Zheng China 15 451 2.9× 106 1.6× 24 0.4× 56 0.8× 106 2.0× 68 658
Behrooz Masoumi Iran 11 159 1.0× 51 0.8× 35 0.5× 10 0.2× 85 1.6× 44 372
M. Dinakaran India 8 59 0.4× 57 0.8× 13 0.2× 24 0.4× 48 0.9× 27 370
Prantik Bhattacharyya India 10 86 0.5× 65 1.0× 80 1.2× 11 0.2× 17 0.3× 24 407
Yijian Pei China 12 115 0.7× 168 2.5× 19 0.3× 21 0.3× 109 2.1× 40 398
Mohammad Khansari Iran 13 80 0.5× 29 0.4× 56 0.8× 27 0.4× 130 2.5× 57 521
Chunyu Wang China 9 119 0.8× 16 0.2× 47 0.7× 12 0.2× 28 0.5× 31 363

Countries citing papers authored by Jiangtao Ma

Since Specialization
Citations

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

Fields of papers citing papers by Jiangtao Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiangtao Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Jiangtao Ma. A scholar is included among the top collaborators of Jiangtao 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 Jiangtao Ma. Jiangtao Ma 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.
Ma, Jiangtao, et al.. (2025). Study on forecasting method of power engineering cost based on BIM and DynGCN. PLoS ONE. 20(5). e0322202–e0322202.
2.
Duan, Hua, et al.. (2025). Clinical value of combined detection of procalcitonin, D-dimer and fibrinogen in the evaluation of children with sepsis. Pakistan Journal of Medical Sciences. 41(7). 1991–1995.
3.
Ma, Jiangtao, Бо Лю, Kunlin Li, et al.. (2024). A review of graph neural networks and pretrained language models for knowledge graph reasoning. Neurocomputing. 609. 128490–128490. 8 indexed citations
4.
Ma, Jiangtao, Kunlin Li, Yanjun Wang, et al.. (2024). BGAT-CCRF: A novel end-to-end model for knowledge graph noise correction. Neural Networks. 180. 106715–106715. 1 indexed citations
5.
6.
7.
Ma, Jiangtao, et al.. (2023). TeCre: A Novel Temporal Conflict Resolution Method Based on Temporal Knowledge Graph Embedding. Information. 14(3). 155–155. 6 indexed citations
8.
Li, Yanting, Junwei Jin, Jiangtao Ma, et al.. (2023). Imbalanced least squares regression with adaptive weight learning. Information Sciences. 648. 119541–119541. 37 indexed citations
9.
Huang, Meng, et al.. (2023). AAFL: automatic association feature learning for gene signature identification of cancer subtypes in single-cell RNA-seq data. Briefings in Functional Genomics. 22(5). 420–427. 2 indexed citations
10.
Qiao, Yaqiong, Xiangyang Luo, Jiangtao Ma, Meng Zhang, & Chenliang Li. (2023). Twitter user geolocation based on heterogeneous relationship modeling and representation learning. Information Sciences. 647. 119427–119427. 1 indexed citations
11.
Ma, Jiangtao, et al.. (2023). Multi-Head Self-Attention-Enhanced Prototype Network with Contrastive–Center Loss for Few-Shot Relation Extraction. Applied Sciences. 14(1). 103–103. 1 indexed citations
12.
Li, Zuhe, et al.. (2023). Context-Dependent Multimodal Sentiment Analysis Based on a Complex Attention Mechanism. Electronics. 12(16). 3516–3516. 2 indexed citations
13.
Liu, Xinglong, et al.. (2023). Lane Detection Based on Adaptive Cross-Scale Region of Interest Fusion. Electronics. 12(24). 4911–4911. 1 indexed citations
14.
Ma, Jiangtao, Yanjun Wang, Yifan Guo, et al.. (2022). PTrustE: A high-accuracy knowledge graph noise detection method based on path trustworthiness and triple embedding. Knowledge-Based Systems. 256. 109688–109688. 6 indexed citations
15.
Liu, Jianhua, et al.. (2021). Multi-Branch Cable Harness Layout Design Based on Genetic Algorithm with Probabilistic Roadmap Method. Chinese Journal of Mechanical Engineering. 34(1). 10 indexed citations
16.
Ma, Jiangtao, et al.. (2021). A Knowledge Graph Entity Disambiguation Method Based on Entity‐Relationship Embedding and Graph Structure Embedding. Computational Intelligence and Neuroscience. 2021(1). 2878189–2878189. 6 indexed citations
17.
Qiao, Yaqiong, Jiangtao Ma, Guangwu Hu, et al.. (2019). A Novel Time Constraint-Based Approach for Knowledge Graph Conflict Resolution. Applied Sciences. 9(20). 4399–4399. 4 indexed citations
18.
Ma, Jiangtao, et al.. (2019). Application of Improved Feature Pre-processing Method in Prevention and Control of Electricity Charge Risk. International Journal of Performability Engineering. 15(9). 2453–2453. 1 indexed citations
19.
Liu, Jianhua, Jianhua Liu, Xiaoyu Ding, et al.. (2017). Physically based real-time interactive assembly simulation of cable harness. Journal of Manufacturing Systems. 43. 385–399. 37 indexed citations
20.
Ma, Jiangtao. (2017). Entity Disambiguation with Markov Logic Network Knowledge Graphs. International Journal of Performability Engineering. 1 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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