Haihong Ji

22 total papers · 1.3k total citations
18 papers, 930 citations indexed

About

Haihong Ji is a scholar working on Sensory Systems, Cognitive Neuroscience and Neurology. According to data from OpenAlex, Haihong Ji has authored 18 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Sensory Systems, 14 papers in Cognitive Neuroscience and 8 papers in Neurology. Recurrent topics in Haihong Ji's work include Hearing, Cochlea, Tinnitus, Genetics (15 papers), Hearing Loss and Rehabilitation (14 papers) and Vestibular and auditory disorders (8 papers). Haihong Ji is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (15 papers), Hearing Loss and Rehabilitation (14 papers) and Vestibular and auditory disorders (8 papers). Haihong Ji collaborates with scholars based in United States, China and Australia. Haihong Ji's co-authors include Richard S. Tyler, Claudia Coelho, William Noble, Bruce J. Gantz, Camille C. Dunn, Tao Pan, Stephanie Gogel, Anne K. Gehringer, Ann Perreau and Shelley Witt and has published in prestigious journals such as Hearing Research, Ear and Hearing and Otology & Neurotology.

In The Last Decade

Haihong Ji

18 papers receiving 909 citations

Author Peers

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

Author Last Decade Papers Cites
Haihong Ji 783 727 296 284 115 18 930
Carl Verschuur 597 0.8× 602 0.8× 296 1.0× 479 1.7× 62 0.5× 41 1.1k
Patrick D’Haese 774 1.0× 658 0.9× 412 1.4× 159 0.6× 160 1.4× 34 1.1k
Lois J. Matthews 897 1.1× 798 1.1× 610 2.1× 202 0.7× 72 0.6× 44 1.2k
Douglas Noffsinger 848 1.1× 630 0.9× 378 1.3× 175 0.6× 84 0.7× 32 1.2k
Robert W. Sweetow 851 1.1× 492 0.7× 442 1.5× 137 0.5× 195 1.7× 38 1.0k
Moe Bergman 489 0.6× 366 0.5× 246 0.8× 154 0.5× 83 0.7× 42 822
M. P. Brocaar 554 0.7× 537 0.7× 391 1.3× 141 0.5× 26 0.2× 38 1.2k
H. Pratt 657 0.8× 432 0.6× 132 0.4× 196 0.7× 24 0.2× 25 900
Steven R. Otto 851 1.1× 639 0.9× 187 0.6× 114 0.4× 37 0.3× 31 1.1k
Kristin Daemers 660 0.8× 556 0.8× 175 0.6× 157 0.6× 216 1.9× 27 882

Countries citing papers authored by Haihong Ji

Since Specialization
Citations

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

Fields of papers citing papers by Haihong Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haihong Ji

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