Yihua Huang

1.4k total citations
78 papers, 815 citations indexed

About

Yihua Huang is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yihua Huang has authored 78 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Artificial Intelligence, 31 papers in Information Systems and 29 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yihua Huang's work include Graph Theory and Algorithms (14 papers), Cloud Computing and Resource Management (14 papers) and Topic Modeling (11 papers). Yihua Huang is often cited by papers focused on Graph Theory and Algorithms (14 papers), Cloud Computing and Resource Management (14 papers) and Topic Modeling (11 papers). Yihua Huang collaborates with scholars based in China, Australia and United States. Yihua Huang's co-authors include Chunfeng Yuan, Rong Gu, Xiaoliang Yang, Guihai Chen, Haipeng Dai, Bing Wang, Jingfan Chen, Furao Shen, Zhongliang Yang and Yongfeng Huang and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

In The Last Decade

Yihua Huang

68 papers receiving 782 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yihua Huang China 16 402 346 218 194 83 78 815
Ali Miri Canada 20 570 1.4× 540 1.6× 448 2.1× 149 0.8× 154 1.9× 113 1.2k
Ren Diao United Kingdom 16 527 1.3× 130 0.4× 144 0.7× 124 0.6× 90 1.1× 25 699
Moheb R. Girgis Egypt 14 238 0.6× 531 1.5× 275 1.3× 88 0.5× 143 1.7× 46 874
Bahman Bahmani United States 8 523 1.3× 263 0.8× 271 1.2× 340 1.8× 252 3.0× 11 956
Zhengping Qian China 13 326 0.8× 614 1.8× 715 3.3× 274 1.4× 193 2.3× 25 1.0k
Joseph K. Bradley United States 9 356 0.9× 465 1.3× 576 2.6× 218 1.1× 198 2.4× 11 973
Shijie Zhang China 14 307 0.8× 487 1.4× 320 1.5× 321 1.7× 182 2.2× 30 964
Erich Schikuta Austria 15 257 0.6× 433 1.3× 418 1.9× 79 0.4× 93 1.1× 108 777

Countries citing papers authored by Yihua Huang

Since Specialization
Citations

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

Fields of papers citing papers by Yihua Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yihua Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Yihua Huang. A scholar is included among the top collaborators of Yihua Huang 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 Yihua Huang. Yihua Huang 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.
Zhang, Pengfei, et al.. (2025). Boosting Temporal Graph Learning From Perspectives of Global and Local Structures. IEEE Transactions on Neural Networks and Learning Systems. 36(8). 15359–15373.
2.
3.
Yuan, Chunfeng, et al.. (2024). LLM-enhanced Cascaded Multi-level Learning on Temporal Heterogeneous Graphs. 512–521. 2 indexed citations
4.
Yuan, Chunfeng, et al.. (2024). iterPrompt: An iterative prompt-tuning method for nested relation extraction with dynamic assignment strategy. Expert Systems with Applications. 254. 124335–124335.
5.
Gu, Rong, Shulin Wang, Haipeng Dai, et al.. (2024). Fluid-Shuttle: Efficient Cloud Data Transmission Based on Serverless Computing Compression. IEEE/ACM Transactions on Networking. 32(6). 4554–4569. 11 indexed citations
6.
Yuan, Chunfeng, et al.. (2024). PromptCNER: A Segmentation-based Method for Few-shot Chinese NER with Prompt-tuning. ACM Transactions on Asian and Low-Resource Language Information Processing. 24(9). 1–24.
7.
Yuan, Chunfeng, et al.. (2023). Nested relation extraction via self-contrastive learning guided by structure and semantic similarity. Neural Networks. 162. 393–411. 2 indexed citations
8.
Yuan, Chunfeng, et al.. (2023). AdaMCL: Adaptive Fusion Multi-View Contrastive Learning for Collaborative Filtering. 1076–1085. 15 indexed citations
9.
Gu, Rong, Zhihao Xu, Xu Wang, et al.. (2023). High-Level Data Abstraction and Elastic Data Caching for Data-Intensive AI Applications on Cloud-Native Platforms. IEEE Transactions on Parallel and Distributed Systems. 34(11). 2946–2964. 2 indexed citations
10.
Yuan, Chunfeng, et al.. (2022). Pronounce differently, mean differently: A multi-tagging-scheme learning method for Chinese NER integrated with lexicon and phonetic features. Information Processing & Management. 59(5). 103041–103041. 15 indexed citations
11.
Chen, Jingfan, et al.. (2022). Knowledge-enhanced Black-box Attacks for Recommendations. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 108–117. 34 indexed citations
12.
Gu, Rong, Kai Zhang, Zhihao Xu, et al.. (2022). Fluid: Dataset Abstraction and Elastic Acceleration for Cloud-native Deep Learning Training Jobs. 2022 IEEE 38th International Conference on Data Engineering (ICDE). 2182–2195. 35 indexed citations
13.
Gu, Rong, et al.. (2021). SparkDQ: Efficient generic big data quality management on distributed data-parallel computation. Journal of Parallel and Distributed Computing. 156. 132–147. 8 indexed citations
14.
Gu, Rong, et al.. (2019). Adaptive cache policy scheduling for big data applications on distributed tiered storage system. Concurrency and Computation Practice and Experience. 31(15). 3 indexed citations
15.
Gu, Rong, Yun Tang, Chen Tian, et al.. (2017). Improving Execution Concurrency of Large-Scale Matrix Multiplication on Distributed Data-Parallel Platforms. IEEE Transactions on Parallel and Distributed Systems. 28(9). 2539–2552. 15 indexed citations
16.
Huang, Yihua. (2015). Research Progress on Big Data Machine Learning System. Big Data Research. 1(1). 2015004. 2 indexed citations
17.
Liu, Chengfei, et al.. (2014). Multi-feature and DAG-Based Multi-tree Matching Algorithm for Automatic Web Data Mining. Swinburne Research Bank (Swinburne University of Technology). 118–125. 4 indexed citations
18.
Huang, Yihua, et al.. (2014). Sintering kinetics of YAG ceramics. Journal of Rare Earths. 32(5). 416–422. 29 indexed citations
19.
Gu, Rong, Furao Shen, & Yihua Huang. (2013). A parallel computing platform for training large scale neural networks. 24 indexed citations
20.
Yang, Xiaoliang, Yulong Liu, Chunfeng Yuan, & Yihua Huang. (2011). Parallelization of BLAST with MapReduce for Long Sequence Alignment. 241–246. 11 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Ali Miri Breakdown of academic impact, for papers by Ren Diao Breakdown of academic impact, for papers by Moheb R. Girgis Breakdown of academic impact, for papers by Bahman Bahmani Breakdown of academic impact, for papers by Zhengping Qian Breakdown of academic impact, for papers by Joseph K. Bradley Breakdown of academic impact, for papers by Shijie Zhang Breakdown of academic impact, for papers by Erich Schikuta
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