Yingheng Wang

877 total citations · 1 hit paper
25 papers, 456 citations indexed

About

Yingheng Wang is a scholar working on Plant Science, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Yingheng Wang has authored 25 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Plant Science, 6 papers in Molecular Biology and 6 papers in Artificial Intelligence. Recurrent topics in Yingheng Wang's work include Computational Drug Discovery Methods (4 papers), GABA and Rice Research (4 papers) and Rice Cultivation and Yield Improvement (4 papers). Yingheng Wang is often cited by papers focused on Computational Drug Discovery Methods (4 papers), GABA and Rice Research (4 papers) and Rice Cultivation and Yield Improvement (4 papers). Yingheng Wang collaborates with scholars based in China, United States and Estonia. Yingheng Wang's co-authors include Philippe Schwaller, Yuanqi Du, Arian R. Jamasb, Tianfan Fu, Charles B. Harris, Chenru Duan, Píetro Lió, Tom L. Blundell, Jeff Guo and Leyan Xu and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Plant Journal and Expert Systems with Applications.

In The Last Decade

Yingheng Wang

20 papers receiving 438 citations

Hit Papers

Machine learning-aided generative molecular design 2024 2026 2025 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yingheng Wang China 9 182 76 72 69 52 25 456
Michael Bohlke‐Schneider Germany 6 140 0.8× 65 0.9× 56 0.8× 150 2.2× 6 0.1× 7 449
Jongseok Kang South Korea 10 39 0.2× 44 0.6× 44 0.6× 35 0.5× 4 0.1× 24 587
Tai-Wei Chiang Taiwan 10 101 0.6× 91 1.2× 22 0.3× 240 3.5× 17 0.3× 16 400
Yuzhong Peng China 12 11 0.1× 138 1.8× 44 0.6× 67 1.0× 79 1.5× 30 457
Meijing Li China 9 24 0.1× 76 1.0× 19 0.3× 110 1.6× 19 0.4× 26 287
Hongxia Liu China 12 30 0.2× 39 0.5× 89 1.2× 39 0.6× 180 3.5× 39 517
William R. Foster United States 10 60 0.3× 59 0.8× 38 0.5× 149 2.2× 13 0.3× 16 503
Rasmita Dash India 12 62 0.3× 251 3.3× 37 0.5× 108 1.6× 25 0.5× 45 430
Xiaowang Zhang China 11 23 0.1× 234 3.1× 27 0.4× 75 1.1× 21 0.4× 105 479

Countries citing papers authored by Yingheng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yingheng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yingheng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yingheng Wang. A scholar is included among the top collaborators of Yingheng Wang 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 Yingheng Wang. Yingheng Wang 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.
Wei, Yidong, Y. S. Zhu, Wei He, et al.. (2025). Comparative Metabolic Analysis of Different Indica Rice Varieties Associated with Seed Storability. Metabolites. 15(1). 19–19. 1 indexed citations
2.
Li, Kunyang, Yidong Wei, Shuai Zhao, et al.. (2025). Nucleobase‐ascorbate transporter OsNAT9 regulates seed vigor and drought tolerance by modulating ascorbic acid homeostasis in rice. The Plant Journal. 122(3). e70225–e70225.
3.
Min, Yaosen, Wei Ye, Xiaoting Wang, et al.. (2024). From Static to Dynamic Structures: Improving Binding Affinity Prediction with Graph‐Based Deep Learning. Advanced Science. 11(40). e2405404–e2405404. 13 indexed citations
4.
Yang, Bowen, Xinrui Wang, Shuang Zhao, et al.. (2024). CAT Bridge: an efficient toolkit for gene–metabolite association mining from multiomics data. GigaScience. 13. 1 indexed citations
5.
Cui, Lili, Yu Song, Yingheng Wang, et al.. (2024). Nei 6 You 7075, a hybrid rice cultivar, exhibits enhanced disease resistance and drought tolerance traits. BMC Plant Biology. 24(1). 1252–1252. 1 indexed citations
6.
Wang, Yingheng, Shufeng Kong, John M. Gregoire, & Carla P. Gomes. (2024). Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance. Proceedings of the AAAI Conference on Artificial Intelligence. 38(1). 283–291.
7.
Rappazzo, Brendan, et al.. (2024). GEM-RAG: Graphical Eigen Memories for Retrieval Augmented Generation. 1259–1264. 1 indexed citations
8.
Yang, He S., Yingheng Wang, Mark A. Zaydman, et al.. (2023). Generalizability of a Machine Learning Model for Improving Utilization of Parathyroid Hormone-Related Peptide Testing across Multiple Clinical Centers. Clinical Chemistry. 69(11). 1260–1269. 7 indexed citations
9.
Luo, Dongsheng, Wei Cheng, Yingheng Wang, et al.. (2023). Time Series Contrastive Learning with Information-Aware Augmentations. Proceedings of the AAAI Conference on Artificial Intelligence. 37(4). 4534–4542. 47 indexed citations
10.
Zhu, Y. S., Lanning Wang, Yanmei Zheng, et al.. (2023). Overexpression of a GIPC glycosyltransferase gene, OsGMT1, suppresses plant immunity and delays heading time in rice. Plant Science. 331. 111674–111674. 5 indexed citations
11.
Wang, Yingheng, et al.. (2023). Growing Like a Tree: Finding Trunks From Graph Skeleton Trees. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(5). 2838–2851.
12.
Zheng, Yanmei, Qiuhua Cai, Yidong Wei, et al.. (2022). RNA-seq profiling of primary calli induced by different media and photoperiods for japonica rice ‘Yunyin’. Molecular Breeding. 42(3). 13–13. 1 indexed citations
14.
Wang, Yingheng, Xin Chen, Yaosen Min, & Ji Wu. (2021). MolCloze: A Unified Cloze-style Self-supervised Molecular Structure Learning Model for Chemical Property Prediction. 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2896–2903. 3 indexed citations
15.
Li, Ce, et al.. (2020). Pipeline image haze removal system using dark channel prior on cloud processing platform. International Journal of Computational Science and Engineering. 22(1). 84–84. 3 indexed citations
16.
Teng, Teng, Yingheng Wang, Xiang He, & Pengfei Chen. (2019). Mathematical Modeling and Simulation on the Stimulation Interactions in Coalbed Methane Thermal Recovery. Processes. 7(8). 526–526. 12 indexed citations
17.
Lian, Ling, Wei He, Liping Chen, et al.. (2018). Functional progress of retrotransposons in plants. Chinese Science Bulletin (Chinese Version). 64(1). 35–48. 2 indexed citations
18.
Xu, Haiwei, Xiaotong Tang, Leyan Xu, et al.. (2014). Liver X receptor β is essential for the differentiation of radial glial cells to oligodendrocytes in the dorsal cortex. Molecular Psychiatry. 19(8). 947–957. 49 indexed citations
19.
Kumaresan, R., et al.. (2004). Decomposition of a bandpass signal and its applications to speech processing. 2078–2082. 2 indexed citations
20.
Wang, Yingheng. (2002). Predicting stock price using fuzzy grey prediction system. Expert Systems with Applications. 22(1). 33–38. 198 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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