Fan Bai

41 total papers · 1.3k total citations
19 papers, 379 citations indexed

About

Fan Bai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Fan Bai has authored 19 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 5 papers in Artificial Intelligence and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Fan Bai's work include Handwritten Text Recognition Techniques (6 papers), Image Retrieval and Classification Techniques (6 papers) and Image Processing and 3D Reconstruction (4 papers). Fan Bai is often cited by papers focused on Handwritten Text Recognition Techniques (6 papers), Image Retrieval and Classification Techniques (6 papers) and Image Processing and 3D Reconstruction (4 papers). Fan Bai collaborates with scholars based in China, United States and Australia. Fan Bai's co-authors include Shuigeng Zhou, Zhanzhan Cheng, Shiliang Pu, Yi Niu, Alan Ritter, Wei Xu, Miao Wang, Shuigeng Zhou, Jie Wang and Meng Wang and has published in prestigious journals such as Nutrients, IEEE Transactions on Knowledge and Data Engineering and BMC Pediatrics.

In The Last Decade

Fan Bai

18 papers receiving 363 citations

Author Peers

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

Author						Papers	Cites
Fan Bai	329	94	93	17	10	19	379
Mallikarjun Hangarge	283 0.9×	80 0.9×	142 1.5×	21 1.2×	5 0.5×	32	336
Jayant Kumar	362 1.1×	83 0.9×	138 1.5×	6 0.4×	14 1.4×	16	412
Curtis Wigington	216 0.7×	192 2.0×	41 0.4×	25 1.5×	11 1.1×	17	336
Swapan Kumar Parui	295 0.9×	116 1.2×	179 1.9×	51 3.0×	20 2.0×	25	346
Fouad Slimane	334 1.0×	120 1.3×	109 1.2×	12 0.7×	15 1.5×	25	351
Yunlu Xu	319 1.0×	185 2.0×	67 0.7×	7 0.4×	18 1.8×	13	367
Mauricio Villegas	313 1.0×	108 1.1×	67 0.7×	16 0.9×	22 2.2×	25	344
Adnan Ul-Hasan	329 1.0×	138 1.5×	128 1.4×	24 1.4×	10 1.0×	20	398
Matthias Zimmermann	271 0.8×	210 2.2×	59 0.6×	40 2.4×	6 0.6×	28	363
Praveen Krishnan	309 0.9×	171 1.8×	76 0.8×	40 2.4×	10 1.0×	22	399

Countries citing papers authored by Fan Bai

Since Specialization

Citations

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

Fields of papers citing papers by Fan Bai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fan Bai

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