Ting Huang

1.1k total citations
62 papers, 887 citations indexed

About

Ting Huang is a scholar working on Molecular Biology, Pollution and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Ting Huang has authored 62 papers receiving a total of 887 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 11 papers in Pollution and 11 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Ting Huang's work include Wastewater Treatment and Nitrogen Removal (11 papers), Pharmacogenetics and Drug Metabolism (7 papers) and Chromium effects and bioremediation (6 papers). Ting Huang is often cited by papers focused on Wastewater Treatment and Nitrogen Removal (11 papers), Pharmacogenetics and Drug Metabolism (7 papers) and Chromium effects and bioremediation (6 papers). Ting Huang collaborates with scholars based in China, United States and Germany. Ting Huang's co-authors include Junfeng Su, Yun‐Feng Cao, Jianxing Chen, Li Wei, Jianqiang Zhao, Qiong Wen, Chunbo Yuan, Zhong‐Ze Fang, Linglin Feng and Jia Zeng and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Water Research.

In The Last Decade

Ting Huang

58 papers receiving 875 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ting Huang China 18 294 205 141 104 93 62 887
Yanan Hou China 22 614 2.1× 230 1.1× 91 0.6× 163 1.6× 122 1.3× 56 1.6k
Sunil Mittal India 19 336 1.1× 91 0.4× 46 0.3× 47 0.5× 50 0.5× 45 1.1k
Fan Xiao China 17 301 1.0× 81 0.4× 62 0.4× 22 0.2× 55 0.6× 75 1.2k
Jer‐Yiing Houng Taiwan 24 499 1.7× 146 0.7× 78 0.6× 43 0.4× 28 0.3× 79 1.7k
Xiuqin Kong China 12 184 0.6× 137 0.7× 35 0.2× 24 0.2× 43 0.5× 31 660
Dae‐Young Kwon South Korea 20 291 1.0× 59 0.3× 88 0.6× 136 1.3× 25 0.3× 63 1.4k
Da Song China 14 178 0.6× 70 0.3× 109 0.8× 48 0.5× 40 0.4× 37 691
D. N. Shukla India 13 164 0.6× 191 0.9× 45 0.3× 49 0.5× 64 0.7× 57 1.3k
Violetta Kozik Poland 16 137 0.5× 176 0.9× 17 0.1× 47 0.5× 100 1.1× 54 1.1k
Nishat Khan India 18 203 0.7× 80 0.4× 41 0.3× 287 2.8× 38 0.4× 38 1.1k

Countries citing papers authored by Ting Huang

Since Specialization
Citations

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

Fields of papers citing papers by Ting Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Huang. A scholar is included among the top collaborators of Ting 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 Ting Huang. Ting 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.
2.
Huang, Ting, et al.. (2024). Fast neural distance field-based three-dimensional reconstruction method for geometrical parameter extraction of walnut shell from multiview images. Computers and Electronics in Agriculture. 224. 109189–109189. 7 indexed citations
3.
Tang, Yun, Yuchao Zhang, Ting Huang, et al.. (2023). Solvent engineering of scalable deposited wide-bandgap perovskites for efficient monolithic perovskite-organic tandem solar cells. Nano Energy. 114. 108653–108653. 19 indexed citations
4.
Yang, Zixin, et al.. (2023). Insights into the fermentation patterns of wheat bran cell wall polysaccharides using an in-vitro batch fermentation model. Carbohydrate Polymers. 317. 121100–121100. 17 indexed citations
5.
Zhao, Kelei, Qianglin Zeng, Yige Zhang, et al.. (2023). Evolution of lasR mutants in polymorphic Pseudomonas aeruginosa populations facilitates chronic infection of the lung. Nature Communications. 14(1). 5976–5976. 25 indexed citations
6.
Qiu, Zhengjun, et al.. (2023). A novel method for detection of internal quality of walnut kernels using low-field magnetic resonance imaging. Computers and Electronics in Agriculture. 217. 108546–108546. 6 indexed citations
7.
Zhao, Junkai, Jianqiang Zhao, Jianqiang Zhao, et al.. (2022). Mechanisms of NO and N2O production by enriched nitrifying sludge in a sequencing batch reactor: Effects of hydroxylamine. Journal of Environmental Management. 316. 115237–115237. 9 indexed citations
8.
Huang, Ting, Chaoran Chen, Zhenhua Xu, et al.. (2022). Suppressing Nonradiative Losses in Wide-Band-Gap Perovskites Affords Efficient and Printable All-Perovskite Tandem Solar Cells with a Metal-Free Charge Recombination Layer. ACS Energy Letters. 8(1). 502–512. 38 indexed citations
9.
Wang, Qin, et al.. (2021). Exploration of the profile-effect relationship of Siraitia grosvenorii aqueous extracts related to their laxative effect on the basis of gray correlation analysis. BMC Complementary Medicine and Therapies. 21(1). 235–235. 6 indexed citations
10.
Ming, Liangshan, Jiamiao Wang, Ting Huang, et al.. (2020). Empirical prediction model based process optimization for droplet size and spraying angle during pharmaceutical fluidized bed granulation. Pharmaceutical Development and Technology. 25(6). 720–728. 5 indexed citations
11.
Su, Junfeng, et al.. (2019). Microbial Community Analysis and Effect of nZVI on Autotrophic Denitrification in a Biological Reactor. Environmental Engineering Science. 36(5). 564–572. 6 indexed citations
12.
13.
Su, Junfeng, et al.. (2019). Microbial Community Analysis and Effects of Fe(II)/Mn(II) Ratio on Denitrification in the Mixotrophic Biological Reactor. Geomicrobiology Journal. 36(5). 396–404. 1 indexed citations
14.
Su, Junfeng, et al.. (2019). Characterization of the Cd(II) and nitrate removal by bacterium Acinetobacter sp. SZ28 under different electron donor conditions. Environmental Science and Pollution Research. 26(13). 12698–12708. 15 indexed citations
15.
Su, Junfeng, et al.. (2018). Sodium Carboxymethyl Cellulose-Modified Zero-Valent Iron Used for Redunction of Nitrate in Autotrophic Denitrification Systems. Environmental Engineering Science. 35(11). 1228–1234. 8 indexed citations
16.
Su, Junfeng, et al.. (2017). Microbial community analysis of simultaneous ammonium removal and Fe3+ reduction at different influent ammonium concentrations. Bioprocess and Biosystems Engineering. 40(10). 1555–1563. 2 indexed citations
17.
Su, Junfeng, et al.. (2017). Simultaneous removal of Fe3+ and nitrate in the autotrophic denitrification immobilized systems. Water Science & Technology Water Supply. 18(5). 1625–1634. 1 indexed citations
18.
Liu, Xin, Ting Huang, Jianxing Chen, et al.. (2013). Arbidol exhibits strong inhibition towards UDP-glucuronosyltransferase (UGT) 1A9 and 2B7.. PubMed. 68(12). 945–50. 8 indexed citations
19.
Li, Mei, et al.. (2011). Application of Micro-Flocculation Direct Filtration for Reservoir Water Derived from Yellow River. Applied Mechanics and Materials. 90-93. 2933–2938. 1 indexed citations
20.
Zhang, Yanyan, J Li, Deyu Hu, et al.. (2009). CYP3A catalyses schizandrin biotransformation in human, minipig and rat liver microsomes. Xenobiotica. 40(1). 38–47. 31 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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