Jing Lv

1.0k citations
28 papers · 837 · h-index 15

Impact in

Papers in

Jing Lv

24 papers receiving 834 citations

Peers

Jing Lv
Comparison fields: 5 of 89
  • Water Science and Technology 363
  • Organic Chemistry 297
  • Renewable Energy, Sustainability and the Environment 116
  • Health, Toxicology and Mutagenesis 99
  • Environmental Chemistry 62
Replace A. M. Badawi with:
A. M. Badawi Egypt
Jieying Liang Australia
Kaoru Ohe Japan
Sarita Dhaka India
Tünde Tóth Hungary
Minrui Li China
Yue Sun China
Sanjit Nayak United Kingdom
Xiaonan Wei China
Timothy G. Carter United States
Jing Lv relative to A. M. Badawi Egypt A. M. Badawi's profile →
Citations per field
00.5×3.4×
A. M. Badawi · 1×
Citations per year

Countries citing papers authored by Jing Lv

Since Specialization
Citations

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

Fields of papers citing papers by Jing Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019175
2 2019148
3 202074
4 201761
5 201455
6 201840
7 202033
8 201731
9 201628
10 201527
11 201724
12 200522
13 202119
14 201818
15 201715
16 202113
17 202013
18 202312
19 201111
20 20177

About Jing Lv

Jing Lv is a scholar working on Organic Chemistry, Molecular Biology, Water Science and Technology, Biomedical Engineering and Materials Chemistry, having authored 28 papers that have together received 837 indexed citations. Recurring topics across this work include Surfactants and Colloidal Systems (5 papers), Environmental remediation with nanomaterials (4 papers), Nanomaterials for catalytic reactions (3 papers), Adsorption and biosorption for pollutant removal (3 papers), Nanoparticle-Based Drug Delivery (2 papers), Carbon dioxide utilization in catalysis (2 papers), Catalysis and Oxidation Reactions (2 papers) and Electrocatalysts for Energy Conversion (2 papers). The work is most often cited by research in Water Science and Technology (363 citations), Organic Chemistry (297 citations), Renewable Energy, Sustainability and the Environment (116 citations), Health, Toxicology and Mutagenesis (99 citations) and Environmental Chemistry (62 citations). Jing Lv has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Liu Na, Yuting Zhang, Weihong Qiao, Yadong Yang, Yingying Liu, Chao Xu, Qiaoying Wang, Peng Liu, Anirudh Srivastava and Chunyu Liu. Their work appears in journals such as Colloids and Surfaces A Physicochemical and Engineering Aspects, CrystEngComm, Chemical Communications, Buildings and Soft Matter.

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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