Hongsheng Tang

2.0k total citations
65 papers, 1.5k citations indexed

About

Hongsheng Tang is a scholar working on Analytical Chemistry, Mechanics of Materials and Archeology. According to data from OpenAlex, Hongsheng Tang has authored 65 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Analytical Chemistry, 39 papers in Mechanics of Materials and 17 papers in Archeology. Recurrent topics in Hongsheng Tang's work include Laser-induced spectroscopy and plasma (35 papers), Analytical chemistry methods development (26 papers) and Cultural Heritage Materials Analysis (17 papers). Hongsheng Tang is often cited by papers focused on Laser-induced spectroscopy and plasma (35 papers), Analytical chemistry methods development (26 papers) and Cultural Heritage Materials Analysis (17 papers). Hongsheng Tang collaborates with scholars based in China, Australia and South Korea. Hongsheng Tang's co-authors include Tianlong Zhang, Hua Li, Xiao‐Feng Yang, Chunhua Yan, Kang Wang, Yixiang Duan, Juan Qi, Shan Wu, Long Liang and Jianbin Zheng and has published in prestigious journals such as Analytical Chemistry, Journal of The Electrochemical Society and Sensors and Actuators B Chemical.

In The Last Decade

Hongsheng Tang

62 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongsheng Tang China 23 959 932 382 209 161 65 1.5k
Tianlong Zhang China 28 1.5k 1.6× 1.5k 1.6× 545 1.4× 396 1.9× 98 0.6× 101 2.3k
Pavel Pořízka Czechia 23 1.5k 1.5× 1.2k 1.3× 461 1.2× 352 1.7× 52 0.3× 101 1.9k
Zhongqi Hao China 30 1.9k 1.9× 1.7k 1.8× 486 1.3× 733 3.5× 68 0.4× 86 2.2k
Shunchun Yao China 25 1.3k 1.4× 1.1k 1.2× 299 0.8× 516 2.5× 115 0.7× 115 2.0k
Jan Novotný Czechia 19 841 0.9× 764 0.8× 325 0.9× 232 1.1× 41 0.3× 42 1.1k
Guanghui Niu China 17 522 0.5× 503 0.5× 168 0.4× 189 0.9× 146 0.9× 44 926
Ran Zhou China 22 762 0.8× 736 0.8× 157 0.4× 368 1.8× 39 0.2× 61 1.1k
Sang‐Ho Nam South Korea 19 323 0.3× 474 0.5× 92 0.2× 230 1.1× 133 0.8× 97 1.2k
Nanjing Zhao China 19 297 0.3× 418 0.4× 63 0.2× 204 1.0× 96 0.6× 123 1.1k
Yu Ding China 20 485 0.5× 426 0.5× 135 0.4× 194 0.9× 392 2.4× 73 1.1k

Countries citing papers authored by Hongsheng Tang

Since Specialization
Citations

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

Fields of papers citing papers by Hongsheng Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongsheng Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Hongsheng Tang. A scholar is included among the top collaborators of Hongsheng Tang 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 Hongsheng Tang. Hongsheng Tang 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.
Li, Maogang, et al.. (2025). Progress of Complex System Process Analysis Based on Modern Spectroscopy Combined With Chemometrics. Journal of Chemometrics. 39(2). 2 indexed citations
2.
Wang, Xin, Dexiang Wang, Liyuan Zhou, et al.. (2025). Machine learning-assisted etched silver SERS sensors for trace-level detection of micron-scale PET in water. Microchemical Journal. 212. 113346–113346. 2 indexed citations
4.
Liu, Yanli, Maogang Li, Zhiguo An, et al.. (2024). Rapid quantitative analysis of three elements (Al, Mg and Fe) in molten zinc based on laser-induced breakdown spectroscopy combined with machine learning algorithm. Chinese Journal of Analytical Chemistry. 52(10). 100450–100450. 1 indexed citations
6.
Ren, Xudong, Maogang Li, Yanyan Xu, et al.. (2024). Rapid quantitative analysis of multiple rare earth elements in NdFeB alloys based on laser-induced breakdown spectroscopy (LIBS) and random forest (RF). Spectrochimica Acta Part B Atomic Spectroscopy. 217. 106957–106957. 11 indexed citations
7.
Liu, Yanli, et al.. (2024). Raman spectroscopy combined with partial least squares (PLS) based on hybrid spectral preprocessing and backward interval PLS (biPLS) for quantitative analysis of four PAHs in oil sludge. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 310. 123953–123953. 14 indexed citations
9.
Li, Haonan, et al.. (2023). Quantitative analysis of phenanthrene in soil by fluorescence spectroscopy coupled with the CARS-PLS model. RSC Advances. 13(14). 9353–9360. 6 indexed citations
10.
Li, Maogang, et al.. (2022). On-line Raman spectroscopy combined with multivariate curve resolution-alternating least squares (MCR-ALS) to investigate the synthesis mechanism of 3,5-diamino-1,2,4-triazole (DAT). Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 289. 122231–122231. 6 indexed citations
11.
Feng, Ting, Tingting Chen, Maogang Li, et al.. (2022). Evaluation of the potential ecological risk of metals in atmospherically deposited particulate matter via laser-induced breakdown spectroscopy combined with machine learning. Chinese Journal of Analytical Chemistry. 50(10). 100097–100097. 1 indexed citations
12.
Feng, Ting, Tingting Chen, Maogang Li, et al.. (2022). Discrimination of the pollution grade of metal elements in atmospherically deposited particulate matter via laser-induced breakdown spectroscopy combined with machine learning method. Chemometrics and Intelligent Laboratory Systems. 231. 104691–104691. 9 indexed citations
13.
Zhou, Jiajun, et al.. (2022). Rapid quantitative analysis of slag acidity by laser induced breakdown spectroscopy combined with random forest. Chinese Journal of Analytical Chemistry. 51(1). 100210–100210. 4 indexed citations
15.
Li, Maogang, Yanyan Xu, Chunhua Yan, et al.. (2021). Hybrid variable selection strategy coupled with random forest (RF) for quantitative analysis of methanol in methanol-gasoline via Raman spectroscopy. Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy. 251. 119430–119430. 24 indexed citations
17.
Tian, Ye, Chunhua Yan, Tianlong Zhang, et al.. (2017). Classification of wines according to their production regions with the contained trace elements using laser-induced breakdown spectroscopy. Spectrochimica Acta Part B Atomic Spectroscopy. 135. 91–101. 56 indexed citations
18.
Sheng, Qinglin, Hongsheng Tang, Yan Wang, & Jianbin Zheng. (2015). Direct Electrochemistry of Hemoglobin Based on Silver Sulfide Nanospheres Anchored Multiwalled Carbon Nanotubes. Journal of The Electrochemical Society. 163(2). H128–H132. 4 indexed citations
19.
Yang, Ying, Xiaohui Ning, Hongsheng Tang, Liejin Guo, & Hongtan Liu. (2014). Effects of passive films on corrosion resistance of uncoated SS316L bipolar plates for proton exchange membrane fuel cell application. Applied Surface Science. 320. 274–280. 55 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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