Weiting Liu

499 citations
24 papers · 378 · h-index 11

Impact in

Papers in

Weiting Liu

20 papers receiving 372 citations

Peers

Weiting Liu
Comparison fields: 5 of 79
  • Geochemistry and Petrology 53
  • Analytical Chemistry 46
  • Pollution 53
  • Pharmacology 67
  • Biotechnology 32
Replace Tiberiu Szöke‐Nagy with:
Tiberiu Szöke‐Nagy Romania
Chang-Joon Kim South Korea
Emmanuela Marchi Italy
Savita Kerkar India
Victoria K. Knight United States
Zhiguo Zhang China
Marta Filipa Simões Macao
Malik Wajid Hussain Chan Pakistan
Weiting Liu relative to Tiberiu Szöke‐Nagy Romania Tiberiu Szöke‐Nagy's profile →
Citations per field
00.5×3.2×
Tiberiu Szöke‐Nagy · 1×
Citations per year

Countries citing papers authored by Weiting Liu

Since Specialization
Citations

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

Fields of papers citing papers by Weiting Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201198
2 201552
3 201832
4 201725
5 202325
6 202124
7 202524
8 202120
9 201212
10 202011
11 201710
12 20188
13 20218
14 20217
15 20246
16 20174
17
Copper and lead ion adsorption characteristics of modified corn stalk biochars.
20204
18 20134
19 20252
20 20251

About Weiting Liu

Weiting Liu is a scholar working on Water Science and Technology, Geochemistry and Petrology, Environmental Engineering, Analytical Chemistry and Pollution, having authored 24 papers that have together received 378 indexed citations. Recurring topics across this work include Groundwater and Isotope Geochemistry (6 papers), Analytical chemistry methods development (5 papers), Water Quality and Pollution Assessment (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Groundwater and Watershed Analysis (3 papers), Hydrological Forecasting Using AI (2 papers), Microbial bioremediation and biosurfactants (2 papers) and Pesticide Residue Analysis and Safety (2 papers). The work is most often cited by research in Geochemistry and Petrology (53 citations), Analytical Chemistry (46 citations), Pollution (53 citations), Pharmacology (67 citations) and Biotechnology (32 citations). Weiting Liu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Pieter C. Dorrestein, Dumitru Brinza, Roger S. Lasken, Lena Gerwick, Rashel V. Grindberg, Eduardo Esquenazi, Roger Coates, Mei Wang, Thomas Ishoey and Pavel A. Pevzner. Their work appears in journals such as Journal of Hydrology Regional Studies, Microchemical Journal, Analytical Letters, New Journal of Chemistry and Water.

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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