Haibin Su

23 total papers · 538 total citations
10 papers, 246 citations indexed

About

Haibin Su is a scholar working on Environmental Engineering, Ecology and Atmospheric Science. According to data from OpenAlex, Haibin Su has authored 10 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Environmental Engineering, 4 papers in Ecology and 2 papers in Atmospheric Science. Recurrent topics in Haibin Su's work include Remote Sensing and LiDAR Applications (5 papers), Remote Sensing in Agriculture (4 papers) and Soil Geostatistics and Mapping (2 papers). Haibin Su is often cited by papers focused on Remote Sensing and LiDAR Applications (5 papers), Remote Sensing in Agriculture (4 papers) and Soil Geostatistics and Mapping (2 papers). Haibin Su collaborates with scholars based in United States and China. Haibin Su's co-authors include Hongxing Liu, Lei Wang, Qiusheng Wu, Hongxing Liu, Jun Wang, Xiaolu Li, Shan Liu, Douglas J. Sherman, Wenfeng Zheng and Richard Beck and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, International Journal of Remote Sensing and IEEE Geoscience and Remote Sensing Letters.

In The Last Decade

Haibin Su

9 papers receiving 242 citations

Author Peers

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

Author						Papers	Cites
Haibin Su	150	73	68	45	45	10	246
Poliyapram Vinayaraj	115 0.8×	86 1.2×	102 1.5×	46 1.0×	93 2.1×	22	315
René Chénier	177 1.2×	85 1.2×	81 1.2×	42 0.9×	50 1.1×	18	312
Seamus Coveney	148 1.0×	19 0.3×	70 1.0×	78 1.7×	60 1.3×	17	288
Brandon Casey	122 0.8×	219 3.0×	175 2.6×	53 1.2×	36 0.8×	12	326
M. Lynch	107 0.7×	212 2.9×	170 2.5×	76 1.7×	29 0.6×	7	320
Haifei Chen	46 0.3×	64 0.9×	142 2.1×	80 1.8×	117 2.6×	9	332
Benqing Chen	215 1.4×	49 0.7×	107 1.6×	127 2.8×	43 1.0×	16	307
Ni-Bin Chang	95 0.6×	31 0.4×	31 0.5×	67 1.5×	8 0.2×	16	325
Merja Pulkkanen	59 0.4×	85 1.2×	66 1.0×	44 1.0×	12 0.3×	10	270
C. Reid Nichols	44 0.3×	58 0.8×	64 0.9×	46 1.0×	41 0.9×	25	183

Countries citing papers authored by Haibin Su

Since Specialization

Citations

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

Fields of papers citing papers by Haibin Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haibin Su

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