Ming Dai

51 papers receiving 1.5k citations

Peers

Ming Dai
Comparison fields: 5 of 98
  • Inorganic Chemistry 814
  • Filtration and Separation 37
  • Electronic, Optical and Magnetic Materials 320
  • Environmental Chemistry 164
  • Fluid Flow and Transfer Processes 97
Replace José L. Barriada with:
José L. Barriada Spain
Neil Winterton United Kingdom
Alberto Pettignano Italy
Ernestas Gaidamauskas United States
Anne Fiksdahl Norway
Demetrio Milea Italy
Jozef Šíma Slovakia
Piero Savarino Italy
François Quentel France
V. Solinas Italy
Ming Dai relative to José L. Barriada Spain José L. Barriada's profile →
Citations per field
00.5×5.7×
José L. Barriada · 1×
Citations per year

Countries citing papers authored by Ming Dai

Since Specialization
Citations

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

Fields of papers citing papers by Ming Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017236
2 2013140
3 201984
4 201482
5 201577
6 201871
7 200770
8 199957
9 201053
10 201148
11 201446
12 200945
13 199542
14 201838
15 201135
16 201832
17 201525
18 201123
19 200920
20 201220

About Ming Dai

Ming Dai is a scholar working on Inorganic Chemistry, Materials Chemistry, Electronic, Optical and Magnetic Materials, Organic Chemistry and Fluid Flow and Transfer Processes, having authored 51 papers that have together received 1.5k indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (20 papers), Magnetism in coordination complexes (14 papers), Thermodynamic properties of mixtures (8 papers), Chemical Thermodynamics and Molecular Structure (5 papers), Covalent Organic Framework Applications (5 papers), Aquatic Ecosystems and Phytoplankton Dynamics (5 papers), Marine and coastal ecosystems (5 papers) and Phase Equilibria and Thermodynamics (5 papers). The work is most often cited by research in Inorganic Chemistry (814 citations), Filtration and Separation (37 citations), Electronic, Optical and Magnetic Materials (320 citations), Environmental Chemistry (164 citations) and Fluid Flow and Transfer Processes (97 citations). Ming Dai has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Jian‐Ping Lang, Zhi‐Gang Ren, Hong‐Xi Li, David James Young, Ping Xie, Jianping Chao, Gaodao Liang, Jun Chen, Bing Wu and Chun‐Yan Ni. Their work appears in journals such as CrystEngComm, Inorganic Chemistry, Fluid Phase Equilibria, Thermochimica Acta and Adsorption Science & Technology.

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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