Hao Jia

32 total papers · 678 total citations
21 papers, 464 citations indexed

About

Hao Jia is a scholar working on Cognitive Neuroscience, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Hao Jia has authored 21 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Cognitive Neuroscience, 5 papers in Electrical and Electronic Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Hao Jia's work include Advanced Memory and Neural Computing (4 papers), Neural dynamics and brain function (4 papers) and Functional Brain Connectivity Studies (4 papers). Hao Jia is often cited by papers focused on Advanced Memory and Neural Computing (4 papers), Neural dynamics and brain function (4 papers) and Functional Brain Connectivity Studies (4 papers). Hao Jia collaborates with scholars based in China, United States and India. Hao Jia's co-authors include Gopikrishna Deshpande, Xiaoping Hu, D. Rangaprakash, Tianming Liu, Changfeng Jin, Lingjiang Li, Ronald J. Beyers, John Schumacher, Edward E. Morrison and Paul Waggoner and has published in prestigious journals such as PLoS ONE, Human Brain Mapping and IEEE Transactions on Industrial Informatics.

In The Last Decade

Hao Jia

21 papers receiving 433 citations

Author Peers

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

Author Last Decade Papers Cites
Hao Jia 222 69 59 58 54 21 464
Uri Hertz 318 1.4× 40 0.6× 4 0.1× 108 1.9× 19 0.4× 42 546
Frederick J. P. Langheim 299 1.3× 78 1.1× 19 0.3× 26 0.4× 4 0.1× 19 525
Timothy J. Smith 272 1.2× 11 0.2× 14 0.2× 97 1.7× 21 0.4× 23 493
Dan Huang 404 1.8× 41 0.6× 26 0.4× 69 1.2× 33 541
Jennifer S. Goldman 147 0.7× 51 0.7× 15 0.3× 17 0.3× 3 0.1× 20 529
Lichan Liu 355 1.6× 25 0.4× 9 0.2× 52 0.9× 3 0.1× 19 489
David Milner 306 1.4× 8 0.1× 8 0.1× 39 0.7× 8 0.1× 21 533
Glen A. Taylor 125 0.6× 15 0.2× 35 0.6× 86 1.5× 25 524
Erin McCarthy 128 0.6× 8 0.1× 9 0.2× 17 0.3× 5 0.1× 26 508
Phil Rich 170 0.8× 22 0.3× 11 0.2× 11 0.2× 21 530

Countries citing papers authored by Hao Jia

Since Specialization
Citations

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

Fields of papers citing papers by Hao Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Jia

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