Sanliang Ling

4.3k citations
74 papers · 3.4k indexed · 2 hit papers · h-index 28

Sanliang Ling

72 papers receiving 3.3k citations

Hit Papers

Advances, Updates, and Analytics for the Computation-Read...6052019202620212023200400600

Peers

Sanliang Ling
Comparison fields: 5 of 98
  • Inorganic Chemistry 1.7k
  • Materials Chemistry 2.3k
  • Process Chemistry and Technology 81
  • Spectroscopy 386
  • Catalysis 147
Replace Jörn Schmedt auf der Günne with:
Jörn Schmedt auf der Günne Germany
Neil J. Henson United States
Andreas Mavrandonakis Germany
Sven M. J. Rogge Belgium
Tomče Runčevski United States
Steven S. Kaye United States
Kechen Wu China
Igor A. Baburin Germany
Yi‐hong Ding China
Matthew R. Hill Australia
Sanliang Ling relative to Jörn Schmedt auf der Günne Germany Jörn Schmedt auf der Günne's profile →
Citations per field
00.5×5.8×
Jörn Schmedt auf der Günne · 1×
Citations per year

Countries citing papers authored by Sanliang Ling

Since Specialization
Citations

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

Fields of papers citing papers by Sanliang Ling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20253
3 20251
4 20245
5 20241
6 202419
7 20240
8 202415
9 20236
10 20232
11 202327
12 20234
13 202233
14 202259
15 202112
16 2020156
17 201979
18
Imaging defects and their evolution in a metal–organic framework at sub-unit-cell resolutionbreakdown →
2019480
19 20117
20 200861

About Sanliang Ling

Sanliang Ling is a scholar working on Inorganic Chemistry, Materials Chemistry and Catalysis, having authored 74 papers that have together received 3.4k indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (18 papers), Hydrogen Storage and Materials (12 papers), Luminescence and Fluorescent Materials (9 papers), Machine Learning in Materials Science (8 papers), Supramolecular Chemistry and Complexes (8 papers), Molecular Sensors and Ion Detection (7 papers), Advanced Chemical Physics Studies (7 papers) and X-ray Diffraction in Crystallography (6 papers). The work is most often cited by research in Inorganic Chemistry (1.7k citations), Materials Chemistry (2.3k citations) and Process Chemistry and Technology (81 citations). Sanliang Ling has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Ben Slater, Maciej Harańczyk, Matthew Witman, Mingming Zhang, Zeyuan Zhang, Xiaopeng Li, Yali Hou, Maciej Gutowski, J. Ilja Siepmann and Benjamin J. Bucior. Their work appears in journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Nature Communications.

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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