Tinghuai Ma

3.8k total citations · 2 hit papers
196 papers, 2.8k citations indexed

About

Tinghuai Ma is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Tinghuai Ma has authored 196 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Artificial Intelligence, 47 papers in Computer Networks and Communications and 42 papers in Information Systems. Recurrent topics in Tinghuai Ma's work include Complex Network Analysis Techniques (22 papers), Distributed and Parallel Computing Systems (20 papers) and Privacy-Preserving Technologies in Data (19 papers). Tinghuai Ma is often cited by papers focused on Complex Network Analysis Techniques (22 papers), Distributed and Parallel Computing Systems (20 papers) and Privacy-Preserving Technologies in Data (19 papers). Tinghuai Ma collaborates with scholars based in China, Saudi Arabia and South Korea. Tinghuai Ma's co-authors include Mznah Al‐Rodhaan, Yuan Tian, Meili Tang, Yu Xue, Abdullah Al‐Dhelaan, Binping Zhao, Huan Rong, Abdullah Al‐Dhelaan, Yuan Tian and Yuan Tian and has published in prestigious journals such as Applied and Environmental Microbiology, International Journal of Heat and Mass Transfer and Expert Systems with Applications.

In The Last Decade

Tinghuai Ma

172 papers receiving 2.7k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A self-adaptive artificial bee colony algorithm based on global best for global optimization

2017 298 citations Yu Xue, Tinghuai Ma et al. profile →
Social Network and Tag Sources Based Augmenting Collaborative Recommender System

2015 254 citations Tinghuai Ma, Mznah Al‐Rodhaan et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tinghuai Ma China	28	1.4k	672	575	534	334	196	2.8k
Weimin Li China	25	749 0.5×	410 0.6×	427 0.7×	445 0.8×	348 1.0×	176	2.1k
Yu Xie China	24	1.8k 1.3×	365 0.5×	383 0.7×	379 0.7×	228 0.7×	88	2.5k
Xiaoyong Du China	29	1.9k 1.3×	824 1.2×	1.1k 1.8×	692 1.3×	261 0.8×	317	3.5k
Ge Yu China	30	1.6k 1.2×	1.1k 1.6×	721 1.3×	636 1.2×	155 0.5×	380	3.8k
Xiangfeng Luo China	25	1.5k 1.1×	303 0.5×	589 1.0×	511 1.0×	289 0.9×	246	2.5k
Chuxu Zhang United States	21	2.1k 1.5×	498 0.7×	805 1.4×	421 0.8×	715 2.1×	79	3.2k
Parham Moradi Iran	28	1.9k 1.4×	389 0.6×	1.1k 1.8×	941 1.8×	423 1.3×	108	3.2k
Jie Yin Australia	28	1.7k 1.2×	788 1.2×	511 0.9×	603 1.1×	639 1.9×	98	3.6k
Chuan Zhou China	33	2.1k 1.5×	559 0.8×	891 1.5×	451 0.8×	964 2.9×	154	3.3k
Junhao Wen China	29	1.1k 0.8×	906 1.3×	1.3k 2.3×	583 1.1×	149 0.4×	184	3.4k

Countries citing papers authored by Tinghuai Ma

Since Specialization

Citations

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

Fields of papers citing papers by Tinghuai Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tinghuai Ma

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Rong, Huan, et al.. (2025). CogLign: Interpretable Text Sentiment Determination by Aligning Cognition Between EEG-Derived Brain Graph and Text-Derived Knowledge Graph. IEEE Transactions on Knowledge and Data Engineering. 37(6). 3220–3239. 1 indexed citations

Wang, Yang, et al.. (2025). The multifunctional type VI secretion system of Vibrio parahaemolyticus : from environmental adaptation to interbacterial competition. Applied and Environmental Microbiology. 91(12). e0165225–e0165225.

Ma, Tinghuai, et al.. (2025). Mixed-order relation learning spatio-temporal graph neural network for weather forecasting. Expert Systems with Applications. 300. 130184–130184.

Ma, Tinghuai, et al.. (2025). MULTISTATE DEEP SMOOTHED LEARNING ON CASHEW CROP YIELD PREDICTION MODEL EMPHASIZING WIND SPEED AND WIND DIRECTION. Applied Ecology and Environmental Research. 23(1). 137–158. 1 indexed citations

Ma, Tinghuai, et al.. (2025). Multi-axis fusion with optimal transport learning for multimodal aspect-based sentiment analysis. Expert Systems with Applications. 280. 127353–127353. 1 indexed citations

Ma, Tinghuai, et al.. (2025). Adaptive Graph Structure Learning Neural Rough Differential Equations for Multivariate Time Series Forecasting. IEEE Transactions on Big Data. 11(5). 2710–2723. 2 indexed citations

Yu, Dongmei, et al.. (2025). Predefined-time robust gradient neural network for solving absolute value equations. Journal of Computational and Applied Mathematics. 473. 116887–116887.

Ma, Tinghuai, et al.. (2024). RTA: A reinforcement learning-based temporal knowledge graph question answering model. Neurocomputing. 617. 128994–128994. 2 indexed citations

Huang, Rui, Tinghuai Ma, Huan Rong, et al.. (2024). Topic and knowledge-enhanced modeling for edge-enabled IoT user identity linkage across social networks. Journal of Cloud Computing Advances Systems and Applications. 13(1). 1 indexed citations

10.

Ma, Tinghuai, et al.. (2024). Temporal patterns decomposition and Legendre projection for long-term time series forecasting. The Journal of Supercomputing. 80(16). 23407–23441.

11.

Hao, Yongsheng, et al.. (2023). Energy allocation and task scheduling in edge devices based on forecast solar energy with meteorological information. Journal of Parallel and Distributed Computing. 177. 171–181. 11 indexed citations

12.

Ma, Tinghuai, et al.. (2023). Multivariate spatio-temporal modeling of drought prediction using graph neural network. Journal of Hydroinformatics. 26(1). 107–124. 7 indexed citations

13.

Rong, Huan, et al.. (2023). FuFaction: Fuzzy Factual Inconsistency Correction on Crowdsourced Documents With Hybrid-Mask at the Hidden-State Level. IEEE Transactions on Knowledge and Data Engineering. 36(1). 167–183. 1 indexed citations

14.

Ma, Tinghuai, et al.. (2023). Joint Syntax-Enhanced and Topic-Driven Graph Networks for Emotion Recognition in Multi-Speaker Conversations. Applied Sciences. 13(6). 3548–3548. 1 indexed citations

15.

Ma, Tinghuai, et al.. (2022). Optimizing Energy-Latency Tradeoff for Computation Offloading in SDIN-Enabled MEC-based IIoT. KSII Transactions on Internet and Information Systems. 16(12). 4 indexed citations

16.

Wang, Qi, et al.. (2022). Interval grey number of energy consumption helps task offloading in the mobile environment. ICT Express. 9(3). 446–451. 9 indexed citations

17.

Rong, Huan, Victor S. Sheng, Tinghuai Ma, Yang Zhou, & Mznah Al‐Rodhaan. (2020). A Self-Play and Sentiment-Emphasized Comment Integration Framework Based on Deep Q-Learning in a Crowdsourcing Scenario. IEEE Transactions on Knowledge and Data Engineering. 34(3). 1021–1037. 6 indexed citations

18.

Xue, Yu, et al.. (2018). A Self-adaptive Artificial Bee Colony Algorithm with Symmetry Initialization. 網際網路技術學刊. 19(5). 1347–1362. 5 indexed citations

19.

Ma, Tinghuai, et al.. (2012). An efficient distributed weather data sharing system based on agent.. The International Arab Journal of Information Technology. 9. 170–178. 1 indexed citations

20.

Ma, Tinghuai, et al.. (2012). Review of applications of partial differential equations for image enhancement. Scientific Research and Essays. 7(44). 3766–3783. 5 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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