Juncheng Mo

478 total citations
10 papers, 352 citations indexed

About

Juncheng Mo is a scholar working on Water Science and Technology, Pollution and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Juncheng Mo has authored 10 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Water Science and Technology, 4 papers in Pollution and 3 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Juncheng Mo's work include Pharmaceutical and Antibiotic Environmental Impacts (3 papers), Adsorption and biosorption for pollutant removal (2 papers) and Water Treatment and Disinfection (2 papers). Juncheng Mo is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (3 papers), Adsorption and biosorption for pollutant removal (2 papers) and Water Treatment and Disinfection (2 papers). Juncheng Mo collaborates with scholars based in China, United States and Denmark. Juncheng Mo's co-authors include Chengyu Chen, Qiao-Yun Zeng, Xiaoyi Huang, Qilai Xie, Yongtao Li, Weilin Huang, Wanhui Zhang, Yanan Li, Muwen Lu and Jing Li and has published in prestigious journals such as The Science of The Total Environment, Water Research and Carbon.

In The Last Decade

Juncheng Mo

10 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Juncheng Mo China	7	135	118	64	58	44	10	352
Yuhui Ge China	6	183 1.4×	117 1.0×	70 1.1×	124 2.1×	61 1.4×	7	411
Rabeea Zafar Pakistan	7	151 1.1×	83 0.7×	58 0.9×	43 0.7×	45 1.0×	11	326
Kunping Wang China	9	129 1.0×	118 1.0×	52 0.8×	59 1.0×	42 1.0×	22	368
Mingda Yu China	7	188 1.4×	81 0.7×	50 0.8×	34 0.6×	63 1.4×	8	391
Qilu Cheng China	11	180 1.3×	74 0.6×	59 0.9×	113 1.9×	88 2.0×	21	394
Y. Pydisetty India	7	121 0.9×	64 0.5×	63 1.0×	38 0.7×	62 1.4×	9	398
Swaroop S. Sonone India	6	200 1.5×	149 1.3×	57 0.9×	47 0.8×	50 1.1×	14	542
Guofei Dai China	10	125 0.9×	83 0.7×	86 1.3×	59 1.0×	45 1.0×	26	444
Juliana John India	8	116 0.9×	101 0.9×	44 0.7×	31 0.5×	62 1.4×	12	360
Maite Ortúzar Spain	7	111 0.8×	48 0.4×	37 0.6×	48 0.8×	35 0.8×	11	290

Countries citing papers authored by Juncheng Mo

Since Specialization

Citations

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

Fields of papers citing papers by Juncheng Mo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juncheng Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Juncheng Mo. A scholar is included among the top collaborators of Juncheng Mo 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 Juncheng Mo. Juncheng Mo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

Mo, Juncheng, et al.. (2024). ST-TAR: An Efficient Spatio-Temporal Learning Framework for Traffic Accident Risk Forecasting. 7778–7785. 5 indexed citations

Li, Guangyuan, et al.. (2024). Rethinking Diffusion Model for Multi-Contrast MRI Super-Resolution. 11365–11374. 19 indexed citations

Huang, Xiaoyi, et al.. (2022). Field study on loss of tetracycline antibiotics from manure-applied soil and their risk assessment in regional water environment of Guangzhou, China. The Science of The Total Environment. 827. 154273–154273. 30 indexed citations

Ning, Zengping, Weimin Sun, Yujing Zhu, et al.. (2021). Colloidal stability of nanosized activated carbon in aquatic systems: Effects of pH, electrolytes, and macromolecules. Water Research. 203. 117561–117561. 24 indexed citations

Mo, Juncheng, Chengyu Chen, Xingjian Yang, et al.. (2021). Runoff Losses in Nitrogen and Phosphorus From Paddy and Maize Cropping Systems: A Field Study in Dongjiang Basin, South China. Frontiers in Plant Science. 12. 675121–675121. 21 indexed citations

Jiang, Heng, et al.. (2021). Growth densities regulate the response to elevated CO2 in a farmed seaweed Pyropia haitanensis (Bangiales, Rhodophyta). Journal of Applied Phycology. 33(4). 2359–2366. 2 indexed citations

Chen, Chengyu, et al.. (2021). Occurrence and risk assessment of tetracycline antibiotics in soils and vegetables from vegetable fields in Pearl River Delta, South China. The Science of The Total Environment. 776. 145959–145959. 81 indexed citations

Yang, Xingjian, Xinxing He, Hang Lin, et al.. (2020). Occurrence and distribution of natural and synthetic progestins, androgens, and estrogens in soils from agricultural production areas in China. The Science of The Total Environment. 751. 141766–141766. 57 indexed citations

Zhang, Wanhui, Muwen Lu, Weilin Huang, et al.. (2020). Magnetic Fe3O4/activated carbon for combined adsorption and Fenton oxidation of 4-chlorophenol. Carbon. 167. 351–363. 111 indexed citations

10.

Li, Yanan, et al.. (2020). Quantitative analysis of trace metals in the Raritan River with inductively coupled plasma mass spectrometer. Water Science & Technology Water Supply. 20(8). 3183–3193. 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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