Haixing Dai

67 total papers · 1.3k total citations
23 papers, 265 citations indexed

About

Haixing Dai is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Haixing Dai has authored 23 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 7 papers in Radiology, Nuclear Medicine and Imaging and 6 papers in Artificial Intelligence. Recurrent topics in Haixing Dai's work include Functional Brain Connectivity Studies (7 papers), Topic Modeling (4 papers) and Neural dynamics and brain function (4 papers). Haixing Dai is often cited by papers focused on Functional Brain Connectivity Studies (7 papers), Topic Modeling (4 papers) and Neural dynamics and brain function (4 papers). Haixing Dai collaborates with scholars based in United States, China and Hong Kong. Haixing Dai's co-authors include Tianming Liu, Dajiang Zhu, Zihao Wu, Zhengliang Liu, Xiang Li, Quanzheng Li, Lu Zhang, Lin Zhao, Dinggang Shen and Fangfei Ge and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cerebral Cortex and Medical Physics.

In The Last Decade

Haixing Dai

22 papers receiving 258 citations

Author Peers

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

Author						Papers	Cites
Haixing Dai	90	69	57	47	14	23	265
Ahad Nasab	65 0.7×	47 0.7×	41 0.7×	11 0.2×	17 1.2×	15	183
Jérémie Clos	100 1.1×	57 0.8×	15 0.3×	22 0.5×	22 1.6×	27	219
Mete Yağanoğlu	79 0.9×	67 1.0×	8 0.1×	31 0.7×	14 1.0×	34	248
Juan E. Arco	70 0.8×	59 0.9×	16 0.3×	97 2.1×	23 1.6×	22	322
Juliana Carneiro Gomes	71 0.8×	120 1.7×	15 0.3×	76 1.6×	26 1.9×	24	301
Sakifa Aktar	118 1.3×	127 1.8×	19 0.3×	30 0.6×	4 0.3×	18	319
Enzo Tartaglione	132 1.5×	143 2.1×	45 0.8×	15 0.3×	11 0.8×	33	221
Md Tanzim Reza	126 1.4×	54 0.8×	20 0.4×	11 0.2×	30 2.1×	46	302
Ayush Tripathi	98 1.1×	66 1.0×	13 0.2×	20 0.4×	58 4.1×	35	295
Refat Khan Pathan	82 0.9×	50 0.7×	8 0.1×	10 0.2×	9 0.6×	15	212

Countries citing papers authored by Haixing Dai

Since Specialization

Citations

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

Fields of papers citing papers by Haixing Dai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haixing Dai

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