Jianhua Yang

1.1k total citations
53 papers, 696 citations indexed

About

Jianhua Yang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Management Science and Operations Research. According to data from OpenAlex, Jianhua Yang has authored 53 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 15 papers in Computational Theory and Mathematics and 14 papers in Management Science and Operations Research. Recurrent topics in Jianhua Yang's work include Rough Sets and Fuzzy Logic (13 papers), Neural Networks and Applications (10 papers) and Cognitive Science and Mapping (10 papers). Jianhua Yang is often cited by papers focused on Rough Sets and Fuzzy Logic (13 papers), Neural Networks and Applications (10 papers) and Cognitive Science and Mapping (10 papers). Jianhua Yang collaborates with scholars based in China, Canada and Poland. Jianhua Yang's co-authors include Wei Lu, Witold Pedrycz, Xiaodong Liu, Vladimir Estivill‐Castro, Liyong Zhang, Guoliang Feng, Xueyan Chen, Peng Li, Ickjai Lee and Wei Zhou and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Information Sciences.

In The Last Decade

Jianhua Yang

49 papers receiving 677 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jianhua Yang China 16 418 253 163 147 66 53 696
Abdullah Balamash Saudi Arabia 14 395 0.9× 346 1.4× 300 1.8× 83 0.6× 113 1.7× 36 844
Jun-Lin Lin Taiwan 17 421 1.0× 231 0.9× 134 0.8× 114 0.8× 162 2.5× 42 813
Martin Štěpnička Czechia 17 578 1.4× 365 1.4× 423 2.6× 141 1.0× 66 1.0× 68 833
Sumitra Mukherjee United States 10 481 1.2× 128 0.5× 53 0.3× 76 0.5× 102 1.5× 36 693
Cheng‐Jung Tsai Taiwan 10 443 1.1× 96 0.4× 112 0.7× 131 0.9× 251 3.8× 27 768
Adrian Petcu Switzerland 15 267 0.6× 297 1.2× 49 0.3× 418 2.8× 51 0.8× 34 952
Andrzej Janusz Poland 13 309 0.7× 57 0.2× 188 1.2× 100 0.7× 164 2.5× 48 577
Yves Lechevallier France 12 444 1.1× 83 0.3× 160 1.0× 172 1.2× 104 1.6× 43 736
Heiko Röglin Germany 14 207 0.5× 107 0.4× 110 0.7× 66 0.4× 30 0.5× 49 511
Manish Aggarwal India 14 183 0.4× 335 1.3× 140 0.9× 29 0.2× 46 0.7× 52 534

Countries citing papers authored by Jianhua Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jianhua Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianhua Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Jianhua Yang. A scholar is included among the top collaborators of Jianhua Yang 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 Jianhua Yang. Jianhua Yang 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.
Liu, Xiaodong, et al.. (2024). Knowledge graph completion with low-dimensional gated hierarchical hyperbolic embedding. Knowledge-Based Systems. 309. 112804–112804. 2 indexed citations
2.
Wang, Zhong-Qiu, et al.. (2024). Damage Identification of Wire Rope Under Strong Noise Background via Light-EfficientNetV2 and Magnetic Flux Leakage Image. Journal of Failure Analysis and Prevention. 24(4). 1877–1888. 1 indexed citations
3.
Yang, Jianhua, et al.. (2024). A distributed algorithm with dynamic event-triggered mechanism for resource allocation problems. Cluster Computing. 28(1). 2 indexed citations
4.
Yang, Jianhua, et al.. (2024). Long and short-term power supply and demand forecasting based on time series analysis under high proportion clean energy integration. Journal of Physics Conference Series. 2703(1). 12020–12020. 1 indexed citations
5.
Yang, Jianhua, et al.. (2023). Wire Rope Inspection Robots: A Review. Journal of Shanghai Jiaotong University (Science). 30(6). 1144–1161. 1 indexed citations
6.
Lu, Wei, et al.. (2023). A Hypersphere Information Granule-Based Fuzzy Classifier Embedded With Fuzzy Cognitive Maps for Classification of Imbalanced Data. IEEE Transactions on Emerging Topics in Computational Intelligence. 8(1). 175–190. 4 indexed citations
7.
Guo, Jing, Wei Lu, Jianhua Yang, & Xiaodong Liu. (2021). A rule-based granular model development for interval-valued time series. International Journal of Approximate Reasoning. 136. 201–222. 10 indexed citations
8.
Lu, Wei, et al.. (2019). Interval Granular Fuzzy Models: Concepts and Development. IEEE Access. 7. 24140–24153. 6 indexed citations
9.
Zhou, Wei, et al.. (2019). The Modeling of Interval-Valued Time Series: A Method Based on Fuzzy Set Theory and Artificial Neural Networks. International Journal of Computational Intelligence and Applications. 18(1). 7 indexed citations
10.
Lu, Wei, et al.. (2019). Fuzzy granular classification based on the principle of justifiable granularity. Knowledge-Based Systems. 170. 89–101. 32 indexed citations
11.
Yang, Jianhua, et al.. (2018). Background Modeling with Extracted Dynamic Pixels for Pumping Unit Surveillance. Mathematical Problems in Engineering. 2018. 1–11. 1 indexed citations
12.
Lu, Wei, Xueyan Chen, Witold Pedrycz, Xiaodong Liu, & Jianhua Yang. (2014). Using interval information granules to improve forecasting in fuzzy time series. International Journal of Approximate Reasoning. 57. 1–18. 100 indexed citations
13.
Lu, Wei, Jianhua Yang, Xiaodong Liu, & Witold Pedrycz. (2014). The modeling and prediction of time series based on synergy of high-order fuzzy cognitive map and fuzzy c-means clustering. Knowledge-Based Systems. 70. 242–255. 78 indexed citations
14.
Liu, Yong, Yunliang Jiang, & Jianhua Yang. (2010). Feature Reduction with Inconsistency. International Journal of Cognitive Informatics and Natural Intelligence. 4(2). 77–87. 7 indexed citations
15.
Yang, Jianhua, et al.. (2009). The Study on Supply Chain Distribution Optimization Based on Bi-level Programming Model. 5. 7–10. 1 indexed citations
16.
Yang, Jianhua. (2005). The study and application of slow to speed acid craft in the low permeate oil reservoir. 1 indexed citations
17.
Yang, Jianhua & Ickjai Lee. (2004). Cluster validity through graph-based boundary analysis. ResearchOnline at James Cook University (James Cook University). 204–210. 7 indexed citations
18.
Yang, Jianhua. (2004). Analysis of the Operation Features of HG-440t/h CFBB Particle Valve. 3 indexed citations
19.
Yang, Jianhua & Yasutaka Fujimoto. (2004). Enhancement of Prediction for Manufacturing System Using Bayesian Decision Recognition. IEEJ Transactions on Industry Applications. 124(1). 31–38.
20.
Yang, Jianhua & Yasutaka Fujimoto. (2004). Modeling, Implementation and simulation of virtual factory based on colored timed Petri net. 1. 574–579. 2 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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