Haiying Gao

1.9k citations
74 papers · 1.5k indexed · 1 hit paper · h-index 24

Haiying Gao

65 papers receiving 1.5k citations

Hit Papers

Improved hyperparameter Bayesian optimization-bidirection...2720252026510152025

Peers

Haiying Gao
Comparison fields: 5 of 85
  • Geophysics 951
  • Water Science and Technology 290
  • Renewable Energy, Sustainability and the Environment 213
  • Industrial and Manufacturing Engineering 52
  • Pollution 54
Replace Maria Perraki with:
Maria Perraki Greece
Kai Hu China
Yonglin Yang China
Qiming Zhang China
Yipeng Wang China
Devon Renock United States
Rahul Ram Australia
Yuandong Wu China
Haiying Gao relative to Maria Perraki Greece Maria Perraki's profile →
Citations per field
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Citations per year

Countries citing papers authored by Haiying Gao

Since Specialization
Citations

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

Fields of papers citing papers by Haiying Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Haiying Gao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Haiying Gao Line = papers co-authored together Haiying Gao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20248
4 20230
5 20232
6 20224
7 20216
8 20217
9 202018
10 202027
11 201947
12 201910
13 201842
14 201830
15 201835
16 201710
17 201414
18
Physicochemical properties and efficiencies of biochar and biochar-based nitrogenous fertilizer.
20132
19
Phosphorus Fractionations in Lake Dianchi Sediment
20100
20
Characteristics of organic phosphorus in sediments of Lake Dianchi, China.
20103

About Haiying Gao

Haiying Gao is a scholar working on Geophysics, Water Science and Technology and Geology, having authored 74 papers that have together received 1.5k indexed citations. Recurring topics across this work include High-pressure geophysics and materials (27 papers), Seismic Waves and Analysis (20 papers), earthquake and tectonic studies (19 papers), Geological and Geochemical Analysis (13 papers), Seismic Imaging and Inversion Techniques (10 papers), Advanced oxidation water treatment (7 papers), Seismology and Earthquake Studies (5 papers) and Advanced Photocatalysis Techniques (4 papers). The work is most often cited by research in Geophysics (951 citations), Water Science and Technology (290 citations) and Renewable Energy, Sustainability and the Environment (213 citations). Haiying Gao has collaborated with scholars based in China, United States and Denmark. Frequent co-authors include D. A. Schmidt, Yang Shen, Xiaotao Yang, Chaoqun Tan, Xinxin Cui, E. Humphreys, Michael L. Williams, Zhiren Wu, Jing Deng and Lu Xu. Their work appears in journals such as Nature Communications, Journal of Geophysical Research Atmospheres and The Science of The Total Environment.

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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