Chang-ye Hui

1.1k total citations
50 papers, 833 citations indexed

About

Chang-ye Hui is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Biomedical Engineering. According to data from OpenAlex, Chang-ye Hui has authored 50 papers receiving a total of 833 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 11 papers in Health, Toxicology and Mutagenesis and 9 papers in Biomedical Engineering. Recurrent topics in Chang-ye Hui's work include bioluminescence and chemiluminescence research (25 papers), Advanced biosensing and bioanalysis techniques (14 papers) and Electrochemical Analysis and Applications (6 papers). Chang-ye Hui is often cited by papers focused on bioluminescence and chemiluminescence research (25 papers), Advanced biosensing and bioanalysis techniques (14 papers) and Electrochemical Analysis and Applications (6 papers). Chang-ye Hui collaborates with scholars based in China and United States. Chang-ye Hui's co-authors include Yan Guo, Lisa Liu, Juan Yi, Xueqin Yang, Xianqing Huang, Limei Li, Naixing Zhang, Han Li, Can Wu and Mingqi Liu and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Water Research.

In The Last Decade

Chang-ye Hui

46 papers receiving 787 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chang-ye Hui China 21 570 225 169 91 79 50 833
Huan Yu China 14 281 0.5× 113 0.5× 28 0.2× 33 0.4× 126 1.6× 29 633
Isabel Martins Portugal 16 211 0.4× 74 0.3× 38 0.2× 58 0.6× 26 0.3× 24 562
Jing Duan China 16 329 0.6× 184 0.8× 129 0.8× 7 0.1× 93 1.2× 38 808
Reyhan Gül Güven Türkiye 14 194 0.3× 73 0.3× 39 0.2× 168 1.8× 27 0.3× 29 449
Kathiresan Shanmugam India 15 337 0.6× 75 0.3× 9 0.1× 27 0.3× 77 1.0× 32 735
Chang-Joon Kim South Korea 14 165 0.3× 109 0.5× 42 0.2× 54 0.6× 65 0.8× 45 494
Hirokazu Okuma Japan 10 161 0.3× 100 0.4× 88 0.5× 19 0.2× 199 2.5× 17 487
M.M. Krishna Reddy India 9 124 0.2× 217 1.0× 120 0.7× 149 1.6× 14 0.2× 12 579
Feng Huang China 15 200 0.4× 110 0.5× 41 0.2× 228 2.5× 53 0.7× 43 698
Saurabh Gupta India 14 158 0.3× 175 0.8× 63 0.4× 123 1.4× 60 0.8× 51 512

Countries citing papers authored by Chang-ye Hui

Since Specialization
Citations

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

Fields of papers citing papers by Chang-ye Hui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chang-ye Hui. 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 Chang-ye Hui. The network helps show where Chang-ye Hui may publish in the future.

Co-authorship network of co-authors of Chang-ye Hui

This figure shows the co-authorship network connecting the top 25 collaborators of Chang-ye Hui. A scholar is included among the top collaborators of Chang-ye Hui 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 Chang-ye Hui. Chang-ye Hui 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, Xueying, et al.. (2025). Bridging the mercury exposure threshold: Development and application of whole-cell biosensors incorporating biotransformation pathways. Environmental Research. 275. 121418–121418. 4 indexed citations
2.
Guo, Yan, et al.. (2025). Visual indicator for the detection of methylmercury in blood: A critical biomarker for dietary exposure assessment. Ecotoxicology and Environmental Safety. 295. 118157–118157. 3 indexed citations
3.
Guo, Yan, et al.. (2025). ChpR-displaying bacteria for bioremediation of chlorpyrifos and TCP: A whole-cell biosorbent approach. Water Research. 283. 123775–123775. 4 indexed citations
4.
Hui, Chang-ye. (2025). Advancing cadmium bioremediation: future directions for CadR display strategies. Frontiers in Bioengineering and Biotechnology. 13. 1720570–1720570.
5.
Ou, Jinping, Jie Tang, Can Wu, et al.. (2025). Engineering ion channels for ultrahigh mercury sensitivity: Visual detection at critical environmental limits. Ecotoxicology and Environmental Safety. 306. 119376–119376.
6.
Guo, Yan, Hui Li, Jie Tang, et al.. (2025). Development of a user-friendly IdgS-Sfp based whole-cell biosensor for high-performance Hg(II) detection in environmental samples. Microchemical Journal. 219. 116100–116100.
7.
8.
Hui, Chang-ye, et al.. (2024). Dual-colored bacterial biosensor responsive to cadmium, mercury, and lead for detecting heavy metal pollution in seawater. Ecological Indicators. 166. 112244–112244. 12 indexed citations
9.
Liu, Mingqi, et al.. (2024). Visual arsenic detection in environmental waters: Innovating with a naked-eye biosensor for universal application. Journal of Hazardous Materials. 477. 135398–135398. 10 indexed citations
10.
Guo, Yan, et al.. (2024). Metabolic engineering-enabled dual-color biosensor for discriminative and sensitive detection of toxic lead and mercury in environmental waters. Journal of environmental chemical engineering. 12(5). 114178–114178. 11 indexed citations
11.
Hui, Chang-ye, et al.. (2023). Tailored bacteria tackling with environmental mercury: Inspired by natural mercuric detoxification operons. Environmental Pollution. 341. 123016–123016. 24 indexed citations
12.
Hui, Chang-ye, et al.. (2023). Designed bacteria based on natural pbr operons for detecting and detoxifying environmental lead: A mini-review. Ecotoxicology and Environmental Safety. 267. 115662–115662. 23 indexed citations
13.
Guo, Yan, et al.. (2023). High-throughput screening of human mercury exposure based on a low-cost naked eye-recognized biosensing platform. Biosensors and Bioelectronics. 248. 115961–115961. 22 indexed citations
14.
Hui, Chang-ye, et al.. (2022). Metabolic engineering of the violacein biosynthetic pathway toward a low-cost, minimal-equipment lead biosensor. Biosensors and Bioelectronics. 214. 114531–114531. 31 indexed citations
15.
Hui, Chang-ye, Yan Guo, Lisa Liu, & Juan Yi. (2021). Recent advances in bacterial biosensing and bioremediation of cadmium pollution: a mini-review. World Journal of Microbiology and Biotechnology. 38(1). 9–9. 47 indexed citations
16.
Guo, Yan, et al.. (2021). Development of Cadmium Multiple-Signal Biosensing and Bioadsorption Systems Based on Artificial Cad Operons. Frontiers in Bioengineering and Biotechnology. 9. 585617–585617. 30 indexed citations
17.
Guo, Yan, et al.. (2021). Development of a bioavailable Hg(II) sensing system based on MerR-regulated visual pigment biosynthesis. Scientific Reports. 11(1). 13516–13516. 40 indexed citations
18.
Hui, Chang-ye, et al.. (2020). Construction of a RFP-lacZα bicistronic reporter system and its application in lead biosensing. PLoS ONE. 15(1). e0228456–e0228456. 17 indexed citations
19.
Hui, Chang-ye, et al.. (2019). Development of a novel bacterial surface display system using truncated OmpT as an anchoring motif. Biotechnology Letters. 41(6-7). 763–777. 20 indexed citations
20.
Guo, Yan, et al.. (2015). A Simple Method for Human Whole Blood Microcultures and Its Application in Radiation Biodosimetry. Health Physics. 109(4). 323–326. 2 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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