Hongyuan Lu

1.2k total citations · 1 hit paper
5 papers, 800 citations indexed

About

Hongyuan Lu is a scholar working on Pollution, Biomaterials and Automotive Engineering. According to data from OpenAlex, Hongyuan Lu has authored 5 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Pollution, 2 papers in Biomaterials and 1 paper in Automotive Engineering. Recurrent topics in Hongyuan Lu's work include biodegradable polymer synthesis and properties (2 papers), Microplastics and Plastic Pollution (2 papers) and Hydrology and Watershed Management Studies (1 paper). Hongyuan Lu is often cited by papers focused on biodegradable polymer synthesis and properties (2 papers), Microplastics and Plastic Pollution (2 papers) and Hydrology and Watershed Management Studies (1 paper). Hongyuan Lu collaborates with scholars based in United States, China and Hong Kong. Hongyuan Lu's co-authors include Daniel J. Acosta, Hannah Cole, Andrew D. Ellington, Hal S. Alper, Nathaniel A. Lynd, Raghav Shroff, Yan Zhang, Wantae Kim, Congzhi Zhu and Daniel J. Diaz and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Pattern Recognition.

In The Last Decade

Hongyuan Lu

5 papers receiving 782 citations

Hit Papers

align trajectories

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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Machine learning-aided engineering of hydrolases for PET depolymerization

2022 767 citations Hongyuan Lu, Daniel J. Diaz et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Hongyuan Lu United States	4	439	355	223	199	133	5	800
Wantae Kim United States	5	439 1.0×	354 1.0×	221 1.0×	289 1.5×	153 1.2×	15	896
Daniel J. Acosta United States	5	450 1.0×	369 1.0×	228 1.0×	239 1.2×	140 1.1×	13	876
Daniel J. Diaz United States	10	443 1.0×	365 1.0×	223 1.0×	431 2.2×	177 1.3×	13	1.1k
Susan Billig Germany	11	469 1.1×	407 1.1×	178 0.8×	183 0.9×	99 0.7×	21	716
Kun Chen China	15	270 0.6×	152 0.4×	103 0.5×	79 0.4×	179 1.3×	41	626
Harry P. Austin Germany	4	469 1.1×	408 1.1×	223 1.0×	96 0.5×	112 0.8×	5	600
Felipe Engelberger Chile	10	420 1.0×	356 1.0×	155 0.7×	176 0.9×	103 0.8×	15	683
Japheth E. Gado United States	6	322 0.7×	271 0.8×	158 0.7×	131 0.7×	124 0.9×	9	537
Alexander Bollinger Germany	9	384 0.9×	267 0.8×	128 0.6×	187 0.9×	92 0.7×	11	564
In Jin Cho South Korea	11	960 2.2×	971 2.7×	346 1.6×	495 2.5×	483 3.6×	12	1.6k

Countries citing papers authored by Hongyuan Lu

Since Specialization

Citations

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

Fields of papers citing papers by Hongyuan Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongyuan Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Hongyuan Lu. A scholar is included among the top collaborators of Hongyuan Lu 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 Hongyuan Lu. Hongyuan Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

5 of 5 papers shown

1.

Wang, Huaimin, Hongyuan Lu, Daniel J. Acosta, et al.. (2024). Evaluating the effectiveness of a lysine mutation and its portability across different Poly(ethylene terephthalate)-hydrolyzing enzymes. Biochemical Engineering Journal. 214. 109573–109573. 3 indexed citations

2.

Li, Peng, et al.. (2024). WaterDetectionNet: A New Deep Learning Method for Flood Mapping With SAR Image Convolutional Neural Network. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 17. 14471–14485. 11 indexed citations

3.

Kim, Wantae, Hongyuan Lu, Clayton T. Larue, et al.. (2024). Evolving dual-trait EPSP synthase variants using a synthetic yeast selection system. Proceedings of the National Academy of Sciences. 121(35). e2317027121–e2317027121. 1 indexed citations

4.

Lu, Hongyuan, Daniel J. Diaz, Congzhi Zhu, et al.. (2022). Machine learning-aided engineering of hydrolases for PET depolymerization. Nature. 604(7907). 662–667. 767 indexed citations breakdown →

5.

Lu, Hongyuan, et al.. (1992). Applying perceptual organization to the detection of man-made objects in non-urban scenes. Pattern Recognition. 25(8). 835–853. 18 indexed citations

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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