Haiyan Fu

5.8k total citations · 1 hit paper
287 papers, 4.5k citations indexed

About

Haiyan Fu is a scholar working on Molecular Biology, Analytical Chemistry and Biomedical Engineering. According to data from OpenAlex, Haiyan Fu has authored 287 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Molecular Biology, 76 papers in Analytical Chemistry and 74 papers in Biomedical Engineering. Recurrent topics in Haiyan Fu's work include Spectroscopy and Chemometric Analyses (62 papers), Advanced Chemical Sensor Technologies (42 papers) and Metabolomics and Mass Spectrometry Studies (33 papers). Haiyan Fu is often cited by papers focused on Spectroscopy and Chemometric Analyses (62 papers), Advanced Chemical Sensor Technologies (42 papers) and Metabolomics and Mass Spectrometry Studies (33 papers). Haiyan Fu collaborates with scholars based in China, United States and Canada. Haiyan Fu's co-authors include Yuanbin She, Hengye Chen, Yao Fan, Lu Xu, Wanjun Long, Ying Hu, Chunsong Zhou, Xiangwei Kong, Ru‐Qin Yu and Hai‐Long Wu and has published in prestigious journals such as Chemical Society Reviews, Angewandte Chemie International Edition and SHILAP Revista de lepidopterología.

In The Last Decade

Haiyan Fu

271 papers receiving 4.4k citations

Hit Papers

Deep leaning in food safety and authenticity detection: A... 2024 2026 2025 2024 10 20 30 40 50

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Haiyan Fu China 34 1.3k 1.1k 1.0k 992 668 287 4.5k
Yuntao Dai China 21 1.1k 0.8× 980 0.9× 732 0.7× 722 0.7× 361 0.5× 74 7.3k
Zhifeng Zhang China 41 1.8k 1.4× 747 0.7× 358 0.4× 755 0.8× 537 0.8× 352 6.0k
Davide Ballabio Italy 35 1.3k 0.9× 1.2k 1.1× 1.6k 1.6× 353 0.4× 147 0.2× 122 5.3k
Huilin Liu China 37 1.1k 0.9× 706 0.6× 571 0.6× 1.2k 1.2× 406 0.6× 161 4.1k
Carmen Cámara Spain 49 756 0.6× 767 0.7× 3.0k 3.0× 675 0.7× 297 0.4× 273 8.7k
Riccardo Leardi Italy 37 1.3k 1.0× 1.4k 1.3× 3.2k 3.2× 345 0.3× 210 0.3× 126 7.1k
Roman M. Balabin Switzerland 36 634 0.5× 1.2k 1.1× 1.9k 1.9× 431 0.4× 224 0.3× 62 4.3k
Hongmei Lü China 35 2.1k 1.6× 871 0.8× 1.2k 1.2× 333 0.3× 190 0.3× 197 4.6k
Aidong Zhang China 37 1.7k 1.3× 482 0.4× 317 0.3× 504 0.5× 1.4k 2.1× 114 4.2k
Xiuxiu Li China 34 1.1k 0.8× 453 0.4× 371 0.4× 411 0.4× 294 0.4× 177 3.9k

Countries citing papers authored by Haiyan Fu

Since Specialization
Citations

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

Fields of papers citing papers by Haiyan Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiyan Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Haiyan Fu. A scholar is included among the top collaborators of Haiyan Fu 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 Haiyan Fu. Haiyan Fu 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.
Che, Siying, et al.. (2025). Mitigating ACQ and enhancing solubility: A dual strategy for real-time aquatic product freshness detection. Food Research International. 209. 116233–116233.
2.
Miao, Jiahe, Jian Wang, Chen Sun, et al.. (2025). Stabilization/solidification of nickel-containing electroplating sludge by sustainable geopolymer: Mechanism and applicability. Journal of environmental chemical engineering. 13(2). 115717–115717. 6 indexed citations
3.
Che, Siying, et al.. (2024). An ion synergism fluorescence probe via Cu2+ triggered competition interaction to detect glyphosate. Food Chemistry. 448. 139021–139021. 14 indexed citations
5.
Che, Siying, et al.. (2024). Sensitive detection of monosultap using a BSA-Cu nanocluster-based turn-off-on fluorescent sensor. Food Control. 171. 111070–111070. 1 indexed citations
6.
Lan, Wei, Xiangyu Zhao, Yue Wu, et al.. (2024). Rapid visual detection of sulfur dioxide residues in food using acid-sensitive CdTe quantum dots-loaded alginate hydrogel beads. Food Chemistry. 446. 138791–138791. 6 indexed citations
7.
Dong, Mingyue, Wanjun Long, Hai‐Long Wu, et al.. (2024). Lightweight spatial pyramid pooling convolutional neural network assisted hyperspectral imaging for Hangbaiju origin identification. Microchemical Journal. 208. 112352–112352. 1 indexed citations
8.
Fu, Haiyan, et al.. (2024). Room- and elevated-temperature strength of as-cast Mg–Sn–Y alloys mediated by Sn and Y solubility via intrinsic stability and deformation resistance. Journal of Materials Research and Technology. 33. 6633–6640. 2 indexed citations
9.
Yuan, Wenjie, et al.. (2024). Toxicity, degradation and metabolic pathway of 4-chlorinephenol in Chlorella vulgaris. Desalination and Water Treatment. 320. 100729–100729. 4 indexed citations
10.
Wang, Yan, Hui‐Wen Gu, Xiaoli Yin, et al.. (2024). Deep leaning in food safety and authenticity detection: An integrative review and future prospects. Trends in Food Science & Technology. 146. 104396–104396. 57 indexed citations breakdown →
11.
Su, Yuanyuan, Xue Jiang, Wanjun Long, et al.. (2023). Authenticity identification of high – Temperature Daqu Baijiu through multi-channel visual array sensor of organic dyes combined with smart phone App. Food Chemistry. 438. 137980–137980. 5 indexed citations
12.
Lan, Wei, Yue Wu, Wei Yang, et al.. (2023). Rapid visual discrimination of Citri Reticulatae Pericarpium from different origins by fluorescent sensors based on aluminum ions and Ag nanoclusters. Sensors and Actuators B Chemical. 380. 133329–133329. 5 indexed citations
13.
Long, Wanjun, et al.. (2023). Classification of Chinese traditional cereal vinegars and antioxidant property predication by fluorescence spectroscopy. Food Chemistry. 424. 136406–136406. 13 indexed citations
17.
Long, Wanjun, et al.. (2023). Machine learning-assisted visual sensor array for identifying the origin of Lilium bulbs. Sensors and Actuators B Chemical. 399. 134812–134812. 10 indexed citations
18.
He, Song, et al.. (2023). Rapid identification of traditional Chinese medicines (Lonicerae japonicae flos and Lonicerae flos) and their origins using excitation-emission matrix fluorescence spectroscopy coupled with chemometrics. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 307. 123639–123639. 6 indexed citations
19.
Zhou, Li, et al.. (2023). Revealing the dynamic changes of lipids in coffee beans during roasting based on UHPLC-QE-HR-AM/MS/MS. Food Research International. 174(Pt 1). 113507–113507. 18 indexed citations
20.
Zhang, Yuying, Qian Zhang, Yueming Zhang, et al.. (2019). A comprehensive automatic data analysis strategy for gas chromatography-mass spectrometry based untargeted metabolomics. Journal of Chromatography A. 1616. 460787–460787. 38 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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