Tianci Hu

31 total papers · 1.1k total citations
22 papers, 682 citations indexed

About

Tianci Hu is a scholar working on Plant Science, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tianci Hu has authored 22 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 11 papers in Molecular Biology and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tianci Hu's work include Plant tissue culture and regeneration (10 papers), Plant Genetic and Mutation Studies (5 papers) and Chromosomal and Genetic Variations (5 papers). Tianci Hu is often cited by papers focused on Plant tissue culture and regeneration (10 papers), Plant Genetic and Mutation Studies (5 papers) and Chromosomal and Genetic Variations (5 papers). Tianci Hu collaborates with scholars based in China, Canada and United States. Tianci Hu's co-authors include K. J. Kasha, E. Simion, Ming Cheng, J. E. Fry, Jeanne Layton, Youn‐Seb Shim, S. G. Metz, Catherine Chay, Xiaoxu Feng and F. Lu and has published in prestigious journals such as The Science of The Total Environment, Journal of Experimental Botany and IEEE Access.

In The Last Decade

Tianci Hu

21 papers receiving 627 citations

Author Peers

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

Author Last Decade Papers Cites
Tianci Hu 571 546 194 46 23 22 682
Érika V. S. Albuquerque 291 0.5× 455 0.8× 52 0.3× 27 0.6× 22 1.0× 31 664
Sharon A. Berberich 561 1.0× 481 0.9× 123 0.6× 17 0.4× 75 3.3× 16 675
Zeng‐Yu Wang 563 1.0× 600 1.1× 137 0.7× 80 1.7× 28 1.2× 18 783
Hau‐Hsuan Hwang 426 0.7× 416 0.8× 140 0.7× 5 0.1× 31 1.3× 24 649
Suman Bagga 381 0.7× 411 0.8× 132 0.7× 27 0.6× 19 0.8× 26 567
Karen Caswell 698 1.2× 659 1.2× 233 1.2× 16 0.3× 22 1.0× 17 768
Angela Doherty 364 0.6× 383 0.7× 188 1.0× 16 0.3× 23 1.0× 17 641
Xiuliang Zhu 199 0.3× 553 1.0× 17 0.1× 27 0.6× 34 1.5× 24 693
Muruganantham Mookkan 516 0.9× 541 1.0× 116 0.6× 24 0.5× 37 1.6× 23 713
Pedro Uribe 234 0.4× 690 1.3× 55 0.3× 98 2.1× 8 0.3× 12 772

Countries citing papers authored by Tianci Hu

Since Specialization
Citations

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

Fields of papers citing papers by Tianci Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianci Hu

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