Yida Huang

887 total citations
30 papers, 462 citations indexed

About

Yida Huang is a scholar working on Molecular Biology, Spectroscopy and Ophthalmology. According to data from OpenAlex, Yida Huang has authored 30 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Spectroscopy and 5 papers in Ophthalmology. Recurrent topics in Yida Huang's work include Metabolomics and Mass Spectrometry Studies (9 papers), Mass Spectrometry Techniques and Applications (5 papers) and Time Series Analysis and Forecasting (5 papers). Yida Huang is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (9 papers), Mass Spectrometry Techniques and Applications (5 papers) and Time Series Analysis and Forecasting (5 papers). Yida Huang collaborates with scholars based in China, United Kingdom and United States. Yida Huang's co-authors include Wanshan Liu, Kun Qian, Ziheng Duan, Haoyan Xu, Yueyang Wang, Jie Feng, Ruimin Wang, Lin Huang, Jiao Wu and Lei Feng and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and Nature Communications.

In The Last Decade

Yida Huang

27 papers receiving 456 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yida Huang China 13 219 90 80 77 61 30 462
Xinyou Zhang China 13 146 0.7× 19 0.2× 32 0.4× 51 0.7× 43 0.7× 46 457
Sheng Guan China 11 291 1.3× 80 0.9× 82 1.0× 82 1.1× 29 0.5× 38 517
Xiangtao Kong China 9 113 0.5× 41 0.5× 15 0.2× 85 1.1× 19 0.3× 24 732
Sangwoo Park South Korea 15 210 1.0× 198 2.2× 8 0.1× 26 0.3× 14 0.2× 42 728
Shan Huang China 13 177 0.8× 116 1.3× 16 0.2× 25 0.3× 14 0.2× 37 463
Qi Lou China 11 76 0.3× 187 2.1× 16 0.2× 31 0.4× 7 0.1× 26 404
Qi Gao China 15 142 0.6× 42 0.5× 9 0.1× 23 0.3× 7 0.1× 57 620
Giuseppe Amodeo Italy 13 355 1.6× 15 0.2× 19 0.2× 83 1.1× 22 0.4× 33 624
Sangho Lee South Korea 13 245 1.1× 78 0.9× 11 0.1× 49 0.6× 11 0.2× 29 542
Benjamin Ulfenborg Sweden 10 193 0.9× 60 0.7× 8 0.1× 124 1.6× 11 0.2× 26 560

Countries citing papers authored by Yida Huang

Since Specialization
Citations

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

Fields of papers citing papers by Yida Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yida Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Yida Huang. A scholar is included among the top collaborators of Yida 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 Yida Huang. Yida 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.
Wang, Yihan, Tong Li, Jiao Wu, et al.. (2025). Metabolic Fingerprint of Dual Body Fluids Deciphers Diabetic Retinopathy. Small. 21(10). e2412195–e2412195. 2 indexed citations
2.
Huang, Yida, Huimin Lin, Jiahao Shi, et al.. (2025). Serum metabolic patterns reveal the diagnostic and prognostic role of alanine abnormality in ocular adnexal lymphoma. Proceedings of the National Academy of Sciences. 122(31). e2506345122–e2506345122.
3.
Liu, Wanshan, Yanyan Li, Shouzhi Yang, et al.. (2025). Fundamental insights into Brønsted acid-induced adduction improve small metabolite profiling in mass spectrometry. Chemical Engineering Journal. 515. 163558–163558.
4.
Zhu, Juan, Yida Huang, Xue Li, et al.. (2025). Metabolic signatures for gastric cancer diagnosis and mechanistic insights: a multicenter study. EMBO Molecular Medicine. 17(12). 3355–3376.
5.
Li, Keke, Ruimin Wang, Zhengying Gu, et al.. (2025). Serum metabolic profiling enables diagnosis, prognosis, and monitoring for brainstem gliomas. Nature Communications. 16(1). 6108–6108. 2 indexed citations
6.
Zhao, Yating, Wanshan Liu, Ruimin Wang, et al.. (2025). Single Test‐Based Diagnosis and Subtyping of Pulmonary Hypertension Caused by Fibrosing Mediastinitis Using Plasma Metabolic Analysis. Advanced Science. 12(17). e2416454–e2416454. 1 indexed citations
7.
Liu, Wanshan, Xiaoxiao Hu, Zhouzhou Bao, et al.. (2025). Serum metabolic fingerprints encode functional biomarkers for ovarian cancer diagnosis: a large-scale cohort study. EBioMedicine. 115. 105706–105706. 1 indexed citations
8.
Huang, Yida, Suyun Rao, Xufang Sun, & Jun Liu. (2025). Advances in molecular epidemiology of diabetic retinopathy: from genomics to gut microbiomics. Molecular Biology Reports. 52(1). 304–304. 3 indexed citations
9.
Zhai, Shuo, Wanshan Liu, Wanwan Liu, et al.. (2024). Serum and Urine Metabolic Fingerprints Characterize Renal Cell Carcinoma for Classification, Early Diagnosis, and Prognosis. Advanced Science. 11(34). e2401919–e2401919. 8 indexed citations
10.
Zhang, Juxiang, Fei Teng, Beiyuan Hu, et al.. (2024). Early Diagnosis and Prognosis Prediction of Pancreatic Cancer Using Engineered Hybrid Core‐Shells in Laser Desorption/Ionization Mass Spectrometry. Advanced Materials. 36(18). e2311431–e2311431. 20 indexed citations
11.
Yang, Shouzhi, Jing Fu, Wenhao Qin, et al.. (2024). Bile metabolic fingerprints distinguish biliary tract cancer from benign biliary diseases. Hepatology. 81(2). 476–490. 7 indexed citations
12.
Wu, Jiao, Chunjing Shi, Yida Huang, et al.. (2024). Thermally Engineered Ferric Yolk‐Shells for Vaginal Secretion Based Cervical Cancer Screening. Advanced Functional Materials. 34(26). 7 indexed citations
13.
Liu, Wanshan, Jinglan Ma, Juxiang Zhang, et al.. (2024). Identification and validation of serum metabolite biomarkers for endometrial cancer diagnosis. EMBO Molecular Medicine. 16(4). 988–1003. 13 indexed citations
15.
Wu, Jiao, Chunmei Liang, Yida Huang, et al.. (2023). Efficient Metabolic Fingerprinting of Follicular Fluid Encodes Ovarian Reserve and Fertility. Advanced Science. 10(23). e2302023–e2302023. 21 indexed citations
16.
Duan, Ziheng, Haoyan Xu, Yueyang Wang, et al.. (2022). Multivariate time-series classification with hierarchical variational graph pooling. Neural Networks. 154. 481–490. 54 indexed citations
17.
Wu, Jiao, Mengqiao Xu, Wanshan Liu, et al.. (2022). Glaucoma Characterization by Machine Learning of Tear Metabolic Fingerprinting. Small Methods. 6(5). e2200264–e2200264. 29 indexed citations
18.
Wang, Yueyang, et al.. (2021). MTHetGNN: A heterogeneous graph embedding framework for multivariate time series forecasting. Pattern Recognition Letters. 153. 151–158. 36 indexed citations
19.
Huang, Yida, Haoyan Xu, Ziheng Duan, et al.. (2020). Modeling Complex Spatial Patterns with Temporal Features via Heterogenous Graph Embedding Networks.. arXiv (Cornell University). 1 indexed citations
20.
Xu, Haoyan, Yida Huang, Ziheng Duan, Jie Feng, & Pengyu Song. (2020). Multivariate Time Series Forecasting Based on Causal Inference with Transfer Entropy and Graph Neural Network.. arXiv (Cornell University). 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.

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