Wanjun Long
About
Wanjun Long is a scholar working on Molecular Biology, Analytical Chemistry and Biomedical Engineering.
According to data from OpenAlex, Wanjun Long has authored 61 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 23 papers in Analytical Chemistry and 17 papers in Biomedical Engineering. Recurrent topics in Wanjun Long's work include Spectroscopy and Chemometric Analyses (22 papers), Advanced Chemical Sensor Technologies (13 papers) and Metabolomics and Mass Spectrometry Studies (11 papers). Wanjun Long is often cited by papers focused on Spectroscopy and Chemometric Analyses (22 papers), Advanced Chemical Sensor Technologies (13 papers) and Metabolomics and Mass Spectrometry Studies (11 papers). Wanjun Long collaborates with scholars based in China and France. Wanjun Long's co-authors include Haiyan Fu, Yuanbin She, Hengye Chen, Tong Wang, Hai‐Long Wu, Ru‐Qin Yu, Hui‐Wen Gu, Xiaoli Yin, An‐Qi Chen and Jian Yang and has published in prestigious journals such as Angewandte Chemie International Edition, Food Chemistry and Trends in Food Science & Technology.
In The Last Decade
Wanjun Long
60 papers receiving 933 citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Wanjun Long China | 16 | 382 | 361 | 274 | 195 | 164 | 61 | 951 | ||
| Hengye Chen China | 22 | 302 0.8× | 790 2.2× | 428 1.6× | 416 2.1× | 303 1.8× | 85 | 1.8k | ||
| Leqian Hu China | 17 | 556 1.5× | 263 0.7× | 245 0.9× | 77 0.4× | 101 0.6× | 47 | 957 | ||
| Álvaro Cunha Neto Brazil | 21 | 445 1.2× | 125 0.3× | 248 0.9× | 54 0.3× | 94 0.6× | 67 | 1.1k | ||
| Pao Li China | 17 | 277 0.7× | 190 0.5× | 203 0.7× | 29 0.1× | 317 1.9× | 56 | 916 | ||
| Maria Anna Maggi Italy | 21 | 370 1.0× | 253 0.7× | 157 0.6× | 63 0.3× | 101 0.6× | 52 | 957 | ||
| Min He China | 20 | 182 0.5× | 439 1.2× | 119 0.4× | 72 0.4× | 126 0.8× | 80 | 1.3k | ||
| Chen-Bo Cai China | 16 | 494 1.3× | 211 0.6× | 254 0.9× | 33 0.2× | 92 0.6× | 43 | 771 | ||
| Lluı́s Puignou Spain | 20 | 194 0.5× | 217 0.6× | 311 1.1× | 23 0.1× | 188 1.1× | 36 | 828 | ||
| Tiegui Nan China | 19 | 221 0.6× | 528 1.5× | 135 0.5× | 34 0.2× | 106 0.6× | 83 | 1.1k | ||
| Michał Woźniakiewicz Poland | 21 | 281 0.7× | 350 1.0× | 385 1.4× | 42 0.2× | 113 0.7× | 95 | 1.3k |
Countries citing papers authored by Wanjun Long
Since
Specialization
Citations
This map shows the geographic impact of Wanjun Long'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 Wanjun Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanjun Long more than expected).
Fields of papers citing papers by Wanjun Long
Since
Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences
This network shows the impact of papers produced by Wanjun Long. 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 Wanjun Long. The network helps show where Wanjun Long may publish in the future.
Co-authorship network of co-authors of Wanjun Long
This figure shows the co-authorship network connecting the top 25 collaborators of Wanjun Long. A scholar is included among the top collaborators of Wanjun Long 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 Wanjun Long. Wanjun Long is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
1.
Zhou, Li, et al.. (2025). Novel colorimetric sensor based on aggregation of noble metal nanomaterials for authenticity identification of Lycium ruthenicum from different regions. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 340. 126295–126295.
2.
Wang, Shuo, Yi Liu, Wanjun Long, et al.. (2025). Ligand‐Engineered Hydrophilic Perovskite Enabling Surface Potential‐Driven Anions Exchange for Multicolor Biosensing. Angewandte Chemie International Edition. 64(15). e202501312–e202501312.
3.
Wang, Shuo, Yi Liu, Wanjun Long, et al.. (2025). Ligand‐Engineered Hydrophilic Perovskite Enabling Surface Potential‐Driven Anions Exchange for Multicolor Biosensing. Angewandte Chemie. 137(15).
4.
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.
5.
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.
6.
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.
7.
Li, Zhiquan, Xiaoli Yin, Hui‐Wen Gu, et al.. (2024). Discrimination and prediction of Qingzhuan tea storage year using quantitative chemical profile combined with multivariate analysis: Advantages of MRMHR based targeted quantification metabolomics. Food Chemistry. 448. 139088–139088.
8.
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.
9.
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.
10.
Long, Wanjun, et al.. (2023). Classification of Chinese traditional cereal vinegars and antioxidant property predication by fluorescence spectroscopy. Food Chemistry. 424. 136406–136406.
11.
Chen, Hengye, et al.. (2023). Rapid identification of high-temperature Daqu Baijiu with the same aroma type through the excitation emission matrix fluorescence of maillard reaction products. Food Control. 153. 109938–109938.
12.
Fan, Yao, Lu Shen, Yaqi Liu, et al.. (2023). A sensitized ratiometric fluorescence probe based on N/S doped carbon dots and mercaptoacetic acid capped CdTe quantum dots for the highly selective detection of multiple tetracycline antibiotics in food. Food Chemistry. 421. 136105–136105.
13.
Long, Wanjun, et al.. (2023). A novel 3D-fluorescence sensing strategy based on HN-chitosan polymer probe for rapid identification and quantification of potential adulteration in saffron. Food Chemistry. 429. 136902–136902.
14.
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.
15.
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.
16.
Zou, Dan, Hui‐Wen Gu, Baomiao Ding, et al.. (2023). Insight into the effect of cultivar and altitude on the identification of EnshiYulu tea grade in untargeted metabolomics analysis. Food Chemistry. 436. 137768–137768.
17.
Gu, Hui‐Wen, Zhiquan Li, Weiqing Sun, et al.. (2023). Integration of lipidomics and metabolomics approaches for the discrimination of harvest time of green tea in spring season by using UPLC-Triple-TOF/MS coupled with chemometrics. Frontiers in Sustainable Food Systems. 7.
18.
Long, Wanjun, Sirui Wang, Hengye Chen, et al.. (2022). Fast and non-destructive discriminating the geographical origin of Hangbaiju by hyperspectral imaging combined with chemometrics. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 284. 121786–121786.
19.
Long, Wanjun, et al.. (2022). Rapid identification of the geographical origin of Eucommia ulmoides by using excitation-emission matrix fluorescence combined with chemometric methods. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 277. 121243–121243.
20.
Long, Wanjun, Siyu Wang, Hengye Chen, et al.. (2022). UHPLC-QTOF-MS-based untargeted metabolomics and mineral element analysis insight into the geographical differences of Chrysanthemum morifolium Ramat cv. “Hangbaiju” from different origins. Food Research International. 163. 112186–112186.
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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