Wei Jin

917 total citations
45 papers, 737 citations indexed

About

Wei Jin is a scholar working on Biomedical Engineering, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Wei Jin has authored 45 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biomedical Engineering, 14 papers in Molecular Biology and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Wei Jin's work include Biosensors and Analytical Detection (12 papers), Machine Learning and ELM (8 papers) and Face and Expression Recognition (8 papers). Wei Jin is often cited by papers focused on Biosensors and Analytical Detection (12 papers), Machine Learning and ELM (8 papers) and Face and Expression Recognition (8 papers). Wei Jin collaborates with scholars based in China, United States and Saint Kitts and Nevis. Wei Jin's co-authors include Ying Mu, Qinhan Jin, Qiangyuan Zhu, Bingwen Yu, Zheng Liu, Lin Qiu, Sihai Han, Yibo Gao, Congcong Ma and Qi Song and has published in prestigious journals such as Journal of the American Chemical Society, Analytical Chemistry and Analytical Biochemistry.

In The Last Decade

Wei Jin

45 papers receiving 720 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wei Jin China 15 440 253 92 82 68 45 737
Iftak Hussain India 10 292 0.7× 178 0.7× 15 0.2× 76 0.9× 31 0.5× 22 509
Jinchao Liu China 7 174 0.4× 73 0.3× 41 0.4× 51 0.6× 33 0.5× 17 534
Oleg Ryabchykov Germany 15 178 0.4× 138 0.5× 25 0.3× 12 0.1× 39 0.6× 30 603
Peter Schmitt United States 9 908 2.1× 329 1.3× 51 0.6× 283 3.5× 21 0.3× 12 1.2k
Xuesong Jiang China 21 346 0.8× 313 1.2× 24 0.3× 88 1.1× 122 1.8× 56 1.1k
Lena Blackmon United States 3 260 0.6× 129 0.5× 22 0.2× 17 0.2× 15 0.2× 4 608
Abdullahi Umar Ibrahim Cyprus 13 115 0.3× 159 0.6× 164 1.8× 45 0.5× 52 0.8× 32 583
Junghwan Cho South Korea 13 144 0.3× 119 0.5× 66 0.7× 104 1.3× 33 0.5× 51 526
Shufang Zhang China 15 159 0.4× 270 1.1× 26 0.3× 49 0.6× 68 1.0× 40 589
Guanghui Li China 6 162 0.4× 167 0.7× 36 0.4× 35 0.4× 35 0.5× 11 363

Countries citing papers authored by Wei Jin

Since Specialization
Citations

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

Fields of papers citing papers by Wei Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wei Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Wei Jin. A scholar is included among the top collaborators of Wei Jin 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 Wei Jin. Wei Jin 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, Zheng, et al.. (2024). Consensus local graph for multiple kernel clustering. Neurocomputing. 602. 128252–128252. 3 indexed citations
2.
Liu, Zheng, et al.. (2024). Superpixel-based multi-scale multi-instance learning for hyperspectral image classification. Pattern Recognition. 149. 110257–110257. 14 indexed citations
3.
Xia, Qi‐Dong, Chuqiao Li, Ming‐Yang Wang, et al.. (2024). Bench-Stable Meisenheimer Complexes: Synthesis, Characterization, and Divergent Reactivity for Dearomatization. Journal of the American Chemical Society. 146(45). 30764–30770. 4 indexed citations
4.
5.
Liu, Zheng, et al.. (2024). A novel method based on near-infrared imaging spectroscopy and graph-learning to evaluate the dyeing uniformity of polyester yarn. Engineering Applications of Artificial Intelligence. 131. 107912–107912. 1 indexed citations
6.
Liu, Zheng, et al.. (2023). A deep multi-instance neural network for dyeing-free inspection of yarn dyeing uniformity. Engineering Applications of Artificial Intelligence. 123. 106159–106159. 2 indexed citations
7.
Hu, Kai, Yu Wang, Liping Xia, et al.. (2023). A fully automatic dPCR microfluidic system for detection of large-volume and low-abundance bacteria sample. Sensors and Actuators B Chemical. 405. 135110–135110. 13 indexed citations
8.
Wu, Wenshuai, Yuanjie Suo, Qianbin Zhao, et al.. (2023). Inoculum size-insensitive susceptibility determination of urine sample based on in-situ measurement of inducible enzyme activity after 20 min of antibiotic exposure. Analytica Chimica Acta. 1282. 341858–341858. 4 indexed citations
9.
Liu, Zheng, et al.. (2023). Learning local graph from multiple kernels. Neurocomputing. 556. 126683–126683. 3 indexed citations
10.
Wu, Wenshuai, Qianbin Zhao, Boran Zhang, et al.. (2022). All-In-One Escherichia coli Viability Assay for Multi-dimensional Detection of Uncomplicated Urinary Tract Infections. Analytical Chemistry. 94(51). 17853–17860. 16 indexed citations
11.
Liu, Zheng, et al.. (2021). A Superpixel-Correlation-Based Multiview Approach for Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters. 19. 1–5. 6 indexed citations
12.
Liu, Zheng, et al.. (2021). Broad learning system for semi-supervised learning. Neurocomputing. 444. 38–47. 35 indexed citations
13.
Zhang, Ying, et al.. (2019). A sensitive method for quantification of the insecticide spinetoram in 13 different plant- and animal-type foods by ultra-high performance liquid chromatography-tandem mass spectrometry. International Journal of Environmental & Analytical Chemistry. 99(2). 187–198. 2 indexed citations
14.
Zhu, Qiangyuan, Yanan Xu, Lin Qiu, et al.. (2017). A scalable self-priming fractal branching microchannel net chip for digital PCR. Lab on a Chip. 17(9). 1655–1665. 67 indexed citations
15.
Tian, Qingchang, Ying Mu, Yanan Xu, et al.. (2015). An integrated temporary negative pressure assisted microfluidic chip for DNA isolation and digital PCR detection. RSC Advances. 5(100). 81889–81896. 31 indexed citations
16.
Tian, Qingchang, Ying Mu, Yanan Xu, et al.. (2015). An integrated microfluidic system for bovine DNA purification and digital PCR detection. Analytical Biochemistry. 491. 55–57. 16 indexed citations
17.
Jin, Xinyu, Fan Liu, Zhongyu Wu, et al.. (2014). Tumor cell detection device based on surface plasmon resonance imaging and image processing. Chemical Research in Chinese Universities. 30(2). 211–215. 1 indexed citations
18.
19.
Liu, Hongmei, et al.. (2006). Construction and Immunological Characterization of Recombinant Marek's Disease Virus Expressing IBDV VP2 Fusion Protein. Chinese journal of biotechnology/Shengwu gongcheng xuebao. 22(3). 391–396. 2 indexed citations
20.
Huang, Jianhua, Xiaoping Miao, Wei Jin, et al.. (2005). Serial analysis of gene expression in the silkworm,. Genomics. 86(2). 233–241. 15 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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Breakdown of academic impact, for papers by Iftak Hussain Breakdown of academic impact, for papers by Jinchao Liu Breakdown of academic impact, for papers by Oleg Ryabchykov Breakdown of academic impact, for papers by Peter Schmitt Breakdown of academic impact, for papers by Xuesong Jiang Breakdown of academic impact, for papers by Lena Blackmon Breakdown of academic impact, for papers by Abdullahi Umar Ibrahim Breakdown of academic impact, for papers by Junghwan Cho Breakdown of academic impact, for papers by Shufang Zhang Breakdown of academic impact, for papers by Guanghui Li
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