Haiting Gu

1.0k citations
45 papers · 712 · h-index 15

Impact in

Papers in

Haiting Gu

41 papers receiving 703 citations

Peers

Haiting Gu
Comparison fields: 5 of 72
  • Water Science and Technology 348
  • Global and Planetary Change 423
  • Environmental Engineering 158
  • Atmospheric Science 183
  • Oceanography 93
Replace Qiudong Zhao with:
Qiudong Zhao China
Rafał B. Wójcik United States
Yixin Mao United States
Raphael Johannes Maria Schneider Denmark
Jayaluxmi Indu India
Patricia López López Netherlands
Shuangxiao Luo China
Yiwen Mei United States
Michel Wortmann Germany
Bakhram Nurtaev
Haiting Gu relative to Qiudong Zhao China Qiudong Zhao's profile →
Citations per field
00.5×1.5×2×2.4×
Qiudong Zhao · 1×
Citations per year

Countries citing papers authored by Haiting Gu

Since Specialization
Citations

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

Fields of papers citing papers by Haiting Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Haiting Gu, 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 Haiting Gu Line = papers co-authored together Haiting Gu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019116
2 202054
3 202047
4 201542
5 201939
6 202138
7 202337
8 201832
9 202328
10 201924
11 202224
12 202122
13 202020
14 201818
15 202417
16 201914
17 202414
18 201913
19 202013
20 202212

About Haiting Gu

Haiting Gu is a scholar working on Water Science and Technology, Global and Planetary Change, Environmental Engineering, Atmospheric Science and Ocean Engineering, having authored 45 papers that have together received 712 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (24 papers), Flood Risk Assessment and Management (17 papers), Climate variability and models (11 papers), Hydrology and Drought Analysis (11 papers), Hydrological Forecasting Using AI (6 papers), Water resources management and optimization (5 papers), Meteorological Phenomena and Simulations (4 papers) and Soil Moisture and Remote Sensing (4 papers). The work is most often cited by research in Water Science and Technology (348 citations), Global and Planetary Change (423 citations), Environmental Engineering (158 citations), Atmospheric Science (183 citations) and Oceanography (93 citations). Haiting Gu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yue‐Ping Xu, Jingkai Xie, Suli Pan, Li Liu, Yuxue Guo, Weidong Xuan, Zhixu Bai, Fumin Wang, Di Ma and Zhilin Sun. Their work appears in journals such as Journal of Hydrology, Journal of Hydrology Regional Studies, Hydrology research, Hydrology and earth system sciences and Hydrological Sciences Journal.

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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