Hang Zuo

446 total citations · 1 hit paper
5 papers, 394 citations indexed

About

Hang Zuo is a scholar working on Pollution, Ecology and Artificial Intelligence. According to data from OpenAlex, Hang Zuo has authored 5 papers receiving a total of 394 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pollution, 2 papers in Ecology and 2 papers in Artificial Intelligence. Recurrent topics in Hang Zuo's work include Heavy metals in environment (4 papers), Geochemistry and Geologic Mapping (2 papers) and Water Quality and Pollution Assessment (2 papers). Hang Zuo is often cited by papers focused on Heavy metals in environment (4 papers), Geochemistry and Geologic Mapping (2 papers) and Water Quality and Pollution Assessment (2 papers). Hang Zuo collaborates with scholars based in China. Hang Zuo's co-authors include Xiaoling Ma, Ying Liu, Xuening Zhou, Xinyuan Chang, Liyang Zhang, Ying Liu, Yizhen Chen, Jingjun Liu, Kai Yang and Guo Yang and has published in prestigious journals such as Chemosphere, Environmental Science and Pollution Research and Soil and Sediment Contamination An International Journal.

In The Last Decade

Hang Zuo

5 papers receiving 389 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Assessment of heavy metals contamination in sediments from three adjacent regions of the Yellow River using metal chemical fractions and multivariate analysis techniques

2015 352 citations Xiaoling Ma, Hang Zuo et al. Chemosphere profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hang Zuo China	4	346	160	132	131	50	5	394
Özlem Fındık Türkiye	8	387 1.1×	151 0.9×	192 1.5×	157 1.2×	45 0.9×	19	482
Rongyuan Liang China	4	372 1.1×	162 1.0×	171 1.3×	122 0.9×	42 0.8×	9	472
Priyanka Mondal India	11	262 0.8×	120 0.8×	97 0.7×	109 0.8×	30 0.6×	12	343
Zulkifl Ahmed Pakistan	5	438 1.3×	152 0.9×	224 1.7×	175 1.3×	52 1.0×	7	516
Guanghong Wu China	13	245 0.7×	124 0.8×	85 0.6×	120 0.9×	23 0.5×	19	403
Hazzeman Haris Malaysia	12	458 1.3×	210 1.3×	168 1.3×	135 1.0×	37 0.7×	26	610
Yepu Li China	9	357 1.0×	159 1.0×	65 0.5×	145 1.1×	77 1.5×	13	511
Mohammed Saddik Morocco	3	376 1.1×	124 0.8×	185 1.4×	153 1.2×	20 0.4×	4	476
Carlos J. Rodríguez-Sierra Puerto Rico	9	298 0.9×	203 1.3×	92 0.7×	67 0.5×	38 0.8×	19	400

Countries citing papers authored by Hang Zuo

Since Specialization

Citations

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

Fields of papers citing papers by Hang Zuo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hang Zuo

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

All Works

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5 of 5 papers shown

1.

Ma, Xiaoling, Hang Zuo, Jingjun Liu, & Ying Liu. (2016). Distribution, risk assessment, and statistical source identification of heavy metals in aqueous system from three adjacent regions of the Yellow River. Environmental Science and Pollution Research. 23(9). 8963–8975. 13 indexed citations

2.

Zuo, Hang, Xiaoling Ma, Kai Yang, et al.. (2016). Distribution and Risk Assessment of Metals in Surface Water and Sediment in the Upper Reaches of the Yellow River, China. Soil and Sediment Contamination An International Journal. 25(8). 917–940. 17 indexed citations

3.

Zuo, Hang, Xiaoling Ma, Yizhen Chen, & Ying Liu. (2016). Studied on Distribution and Heavy Metal Pollution Index of Heavy Metals in Water from Upper Reaches of the Yellow River, China.. PubMed. 36(9). 3047. 9 indexed citations

4.

Ma, Xiaoling, Hang Zuo, Liyang Zhang, et al.. (2015). Assessment of heavy metals contamination in sediments from three adjacent regions of the Yellow River using metal chemical fractions and multivariate analysis techniques. Chemosphere. 144. 264–272. 352 indexed citations breakdown →

5.

Ma, Xiaoling, et al.. (2015). [Study on Speciation Analysis and Ecological Risk Assessment of Heavy Metals in Surface Sediments in Gansu, Ningxia and Inner Mongolia Sections of the Yellow River in Wet Season with HR-ICP-MS].. PubMed. 35(4). 1062–7. 3 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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