Hongxia Ni

78 total papers · 558 total citations
44 papers, 384 citations indexed

About

Hongxia Ni is a scholar working on Infectious Diseases, Computer Vision and Pattern Recognition and Epidemiology. According to data from OpenAlex, Hongxia Ni has authored 44 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Infectious Diseases, 8 papers in Computer Vision and Pattern Recognition and 8 papers in Epidemiology. Recurrent topics in Hongxia Ni's work include Viral Infections and Vectors (6 papers), Viral gastroenteritis research and epidemiology (4 papers) and Advanced Neural Network Applications (4 papers). Hongxia Ni is often cited by papers focused on Viral Infections and Vectors (6 papers), Viral gastroenteritis research and epidemiology (4 papers) and Advanced Neural Network Applications (4 papers). Hongxia Ni collaborates with scholars based in China, United States and Taiwan. Hongxia Ni's co-authors include Guozhang Xu, Guangwen Cao, Jianhua Yin, Yongdong Li, Hongjun Dong, Hongwei Zhang, Yifang Han, Tianfeng He, Liying Zhao and Yibo Ding and has published in prestigious journals such as Frontiers in Microbiology, Experimental Brain Research and Journal of Ethnopharmacology.

In The Last Decade

Hongxia Ni

36 papers receiving 375 citations

Author Peers

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

Author						Papers	Cites
Hongxia Ni	119	118	75	50	47	44	384
Zhijun Bai	264 2.2×	71 0.6×	113 1.5×	37 0.7×	53 1.1×	24	397
Jalal Nourlil	210 1.8×	102 0.9×	30 0.4×	53 1.1×	14 0.3×	22	403
Yi-yu Lu	199 1.7×	119 1.0×	77 1.0×	36 0.7×	20 0.4×	45	434
Yonghao Hu	127 1.1×	79 0.7×	48 0.6×	32 0.6×	62 1.3×	30	335
Karen Pierer	124 1.0×	205 1.7×	43 0.6×	74 1.5×	9 0.2×	27	403
J Deák	141 1.2×	157 1.3×	71 0.9×	37 0.7×	9 0.2×	47	406
Ioanna P. Chatziprodromidou	92 0.8×	61 0.5×	18 0.2×	28 0.6×	56 1.2×	35	352
Irina Nastassja Riediger	162 1.4×	158 1.3×	36 0.5×	49 1.0×	25 0.5×	29	395
Anthony C. Ike	236 2.0×	189 1.6×	55 0.7×	57 1.1×	82 1.7×	43	445
Kazutoshi Nakashima	140 1.2×	163 1.4×	31 0.4×	21 0.4×	51 1.1×	36	441

Countries citing papers authored by Hongxia Ni

Since Specialization

Citations

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

Fields of papers citing papers by Hongxia Ni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongxia Ni

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