Danhua Wu

17 total papers · 459 total citations
12 papers, 256 citations indexed

About

Danhua Wu is a scholar working on Environmental Engineering, Molecular Biology and Civil and Structural Engineering. According to data from OpenAlex, Danhua Wu has authored 12 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Environmental Engineering, 4 papers in Molecular Biology and 3 papers in Civil and Structural Engineering. Recurrent topics in Danhua Wu's work include Soil Moisture and Remote Sensing (6 papers), Soil Geostatistics and Mapping (4 papers) and Genetic diversity and population structure (3 papers). Danhua Wu is often cited by papers focused on Soil Moisture and Remote Sensing (6 papers), Soil Geostatistics and Mapping (4 papers) and Genetic diversity and population structure (3 papers). Danhua Wu collaborates with scholars based in China and United States. Danhua Wu's co-authors include Weisha Luan, Jingsong Yang, Rongjiang Yao, Shuangyan Wang, Zhaoxia Cui, Qianqian Li, Yuan Liu, Peng Gao, Wenping Xie and Xiangping Wang and has published in prestigious journals such as PLoS ONE, Computers and Electronics in Agriculture and Fish & Shellfish Immunology.

In The Last Decade

Danhua Wu

12 papers receiving 248 citations

Author Peers

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

Author						Papers	Cites
Danhua Wu	71	71	69	51	48	12	256
Lanny R. Udey	50 0.7×	59 0.8×	6 0.1×	30 0.6×	66 1.4×	11	331
Jiayun Ren	63 0.9×	4 0.1×	25 0.4×	29 0.6×	53 1.1×	20	279
Zhao Wang	87 1.2×	9 0.1×	8 0.1×	35 0.7×	33 0.7×	35	308
Heath W. Garris	43 0.6×	26 0.4×	3 0.0×	5 0.1×	104 2.2×	11	300
Qiang Li	58 0.8×	18 0.3×	8 0.1×	5 0.1×	22 0.5×	23	279
Maximilian Meyer	83 1.2×	36 0.5×	6 0.1×	45 0.9×	11 0.2×	12	318
Richard D. Woods	58 0.8×	5 0.1×	28 0.4×	83 1.6×	99 2.1×	10	304
Nguyen Ngoc Tri Huynh	17 0.2×	6 0.1×	133 1.9×	105 2.1×	19 0.4×	28	308
Joseph A. Ringbauer	147 2.1×	28 0.4×	60 0.9×	3 0.1×	51 1.1×	21	313
Qi Ni	30 0.4×	102 1.4×	5 0.1×	7 0.1×	41 0.9×	32	329

Countries citing papers authored by Danhua Wu

Since Specialization

Citations

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

Fields of papers citing papers by Danhua Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danhua Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Danhua Wu. A scholar is included among the top collaborators of Danhua Wu 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 Danhua Wu. Danhua Wu 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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