Haina Tang

63 total papers · 582 total citations
33 papers, 366 citations indexed

About

Haina Tang is a scholar working on Computer Networks and Communications, Transportation and Building and Construction. According to data from OpenAlex, Haina Tang has authored 33 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Networks and Communications, 6 papers in Transportation and 5 papers in Building and Construction. Recurrent topics in Haina Tang's work include Network Traffic and Congestion Control (5 papers), Transportation Planning and Optimization (4 papers) and Traffic Prediction and Management Techniques (4 papers). Haina Tang is often cited by papers focused on Network Traffic and Congestion Control (5 papers), Transportation Planning and Optimization (4 papers) and Traffic Prediction and Management Techniques (4 papers). Haina Tang collaborates with scholars based in China, United Kingdom and Macao. Haina Tang's co-authors include Yulei Wu, Hong‐Ning Dai, Fenghua Zhu, Yisheng Lv, Leilei Sun, Xiao Wang, Yongmao Ren, Jingguo Ge, Tingshao Zhu and Fei‐Yue Wang and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Journal of Ethnopharmacology.

In The Last Decade

Haina Tang

26 papers receiving 345 citations

Hit Papers

Graph Neural Networks for... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Haina Tang 155 129 70 70 70 33 366
Cheng Zhu 155 1.0× 81 0.6× 58 0.8× 60 0.9× 39 0.6× 40 360
Hitoshi Kanoh 79 0.5× 56 0.4× 63 0.9× 48 0.7× 76 1.1× 42 313
Ruochen Hao 150 1.0× 158 1.2× 34 0.5× 69 1.0× 35 0.5× 21 299
Nan Ding 132 0.9× 147 1.1× 48 0.7× 120 1.7× 39 0.6× 38 364
Jesús L. Lobo 133 0.9× 70 0.5× 57 0.8× 53 0.8× 35 0.5× 25 308
Ali Shatnawi 104 0.7× 76 0.6× 93 1.3× 100 1.4× 54 0.8× 33 368
Joe Palen 56 0.4× 115 0.9× 93 1.3× 106 1.5× 72 1.0× 25 324
Menglin Li 78 0.5× 71 0.6× 78 1.1× 32 0.5× 157 2.2× 26 384
Leon Kester 106 0.7× 62 0.5× 41 0.6× 106 1.5× 46 0.7× 56 313
Omair Shafiq 105 0.7× 93 0.7× 60 0.9× 68 1.0× 35 0.5× 36 364

Countries citing papers authored by Haina Tang

Since Specialization
Citations

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

Fields of papers citing papers by Haina Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haina Tang

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