Na Yao

13 total papers · 467 total citations
8 papers, 370 citations indexed

About

Na Yao is a scholar working on Global and Planetary Change, Health, Toxicology and Mutagenesis and Atmospheric Science. According to data from OpenAlex, Na Yao has authored 8 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Global and Planetary Change, 5 papers in Health, Toxicology and Mutagenesis and 3 papers in Atmospheric Science. Recurrent topics in Na Yao's work include Land Use and Ecosystem Services (5 papers), Urban Green Space and Health (5 papers) and Urban Heat Island Mitigation (3 papers). Na Yao is often cited by papers focused on Land Use and Ecosystem Services (5 papers), Urban Green Space and Health (5 papers) and Urban Heat Island Mitigation (3 papers). Na Yao collaborates with scholars based in China, United States and Canada. Na Yao's co-authors include Zhiqiang Lv, Zhifeng Wu, Cheng Sun, Jianbing Wei, Jun Yang, Lvyi Ma, Cecil C. Konijnendijk, Tahia Devisscher, Liming Jia and Jie Duan and has published in prestigious journals such as Journal of Cleaner Production, Remote Sensing and International Journal of Applied Earth Observation and Geoinformation.

In The Last Decade

Na Yao

8 papers receiving 358 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Na Yao	291	163	118	91	50	8	370
Chia-Tsung Yeh	276 0.9×	114 0.7×	100 0.8×	45 0.5×	69 1.4×	8	428
Richard Lemoine-Rodríguez	225 0.8×	127 0.8×	143 1.2×	58 0.6×	54 1.1×	20	375
Sainan Zhang	315 1.1×	142 0.9×	77 0.7×	58 0.6×	65 1.3×	17	446
Billy Hales	250 0.9×	86 0.5×	85 0.7×	66 0.7×	97 1.9×	7	395
Somajita Paul	325 1.1×	206 1.3×	131 1.1×	57 0.6×	97 1.9×	9	425
Suvamoy Pramanik	273 0.9×	208 1.3×	228 1.9×	58 0.6×	30 0.6×	13	431
Priya Narayanan	243 0.8×	156 1.0×	121 1.0×	38 0.4×	17 0.3×	14	364
Susannah Gill	278 1.0×	177 1.1×	172 1.5×	25 0.3×	34 0.7×	6	392
Muhammad Sadiq Khan	228 0.8×	146 0.9×	197 1.7×	80 0.9×	63 1.3×	18	355
Saurav Chakraborty	263 0.9×	107 0.7×	85 0.7×	47 0.5×	39 0.8×	12	360

Countries citing papers authored by Na Yao

Since Specialization

Citations

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

Fields of papers citing papers by Na Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Na Yao

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

All Works

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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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