Hao Fu

44 total papers · 1.9k total citations
25 papers, 918 citations indexed

About

Hao Fu is a scholar working on Artificial Intelligence, Global and Planetary Change and Computer Vision and Pattern Recognition. According to data from OpenAlex, Hao Fu has authored 25 papers receiving a total of 918 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 6 papers in Global and Planetary Change and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Hao Fu's work include Flood Risk Assessment and Management (6 papers), Topic Modeling (5 papers) and Hydrology and Watershed Management Studies (5 papers). Hao Fu is often cited by papers focused on Flood Risk Assessment and Management (6 papers), Topic Modeling (5 papers) and Hydrology and Watershed Management Studies (5 papers). Hao Fu collaborates with scholars based in China, United States and United Kingdom. Hao Fu's co-authors include Frank Seide, Jasha Droppo, Dong Yu, Gang Li, Jianfeng Gao, Aslı Çelikyılmaz, Chunyuan Li, Xiaodong Liu, Lawrence Carin and Risheng Liu and has published in prestigious journals such as Automatica, Physics Letters B and Sustainability.

In The Last Decade

Hao Fu

24 papers receiving 884 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

1-bit stochastic gradient descent and its application to data-parallel distributed training of speech DNNs

2014 437 citations Frank Seide, Hao Fu et al. profile →

Author Peers

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

Author						Papers	Cites
Hao Fu	574	338	114	105	79	25	918
Daniel Hernández-Lobato	639 1.1×	224 0.7×	81 0.7×	48 0.5×	58 0.7×	43	1.1k
Md. Monirul Kabir	444 0.8×	257 0.8×	75 0.7×	38 0.4×	37 0.5×	33	916
Shuang Song	435 0.8×	215 0.6×	82 0.7×	114 1.1×	29 0.4×	49	1.2k
A. K. Rigler	462 0.8×	160 0.5×	119 1.0×	37 0.4×	64 0.8×	19	1.0k
Wenbin Li	693 1.2×	633 1.9×	44 0.4×	57 0.5×	54 0.7×	65	1.2k
Rui Min	409 0.7×	346 1.0×	78 0.7×	141 1.3×	55 0.7×	70	997
Farid Saberi-Movahed	275 0.5×	179 0.5×	40 0.4×	31 0.3×	68 0.9×	32	878
M.T. Musavi	483 0.8×	273 0.8×	286 2.5×	73 0.7×	28 0.4×	70	1.2k
Jarmo Ilonen	363 0.6×	185 0.5×	70 0.6×	33 0.3×	30 0.4×	21	903
Ya Li	567 1.0×	369 1.1×	147 1.3×	99 0.9×	22 0.3×	41	1.1k

Countries citing papers authored by Hao Fu

Since Specialization

Citations

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

Fields of papers citing papers by Hao Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Fu

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