University CN

Tianjin University

Papers we track 21,451
Since 1984
Most active in Catalytic Conversion of Methane and Carbon Dioxide to Hydrogen and Fuels

Research trend share of all papers we track, per year

lower coverage before 2010 0.00% 0.15% 0.30% 2000 2010 2020 1990: 0.015% (8 papers) 1991: 0.015% (10 papers) 1992: 0.008% (5 papers) 1993: 0.014% (10 papers) 1994: 0.007% (6 papers) 1995: 0.022% (14 papers) 1996: 0.017% (14 papers) 1997: 0.026% (20 papers) 1998: 0.029% (23 papers) 1999: 0.025% (22 papers) 2000: 0.019% (16 papers) 2001: 0.037% (36 papers) 2002: 0.043% (36 papers) 2003: 0.068% (68 papers) 2004: 0.086% (97 papers) 2005: 0.097% (92 papers) 2006: 0.133% (137 papers) 2007: 0.148% (163 papers) 2008: 0.129% (157 papers) 2009: 0.123% (174 papers) 2010: 0.107% (172 papers) 2011: 0.129% (190 papers) 2012: 0.149% (263 papers) 2013: 0.177% (388 papers) 2014: 0.222% (587 papers) 2015: 0.217% (679 papers) 2016: 0.221% (765 papers) 2017: 0.251% (480 papers) 2018: 0.301% (503 papers) 2019: 0.290% (661 papers) 2020: 0.254% (2,155 papers) 2021: 0.255% (2,256 papers) 2022: 0.258% (2,350 papers) 2023: 0.251% (2,393 papers) 2024: 0.247% (2,455 papers) 2025: 0.246% (2,579 papers) 2026: 0.215% (1,384 papers) — year in progress

Each point is this institution's share of the papers credited to all institutions that year, with credit split across co-authoring institutions. A share, not a count, because our collection grows unevenly by year. Hover a point for the figures. The hollow point is the year in progress.

Where it works most top research communities, by papers

Check communities to show the trend above for them only. Positions are by fractional papers across all years. A community page ranks its institutions by citation-weighted credit, so its order can differ.

Covers the materials and chemistry research Elements Live tracks, not everything Tianjin University publishes. Institutions come from OpenAlex affiliations, rolled up to the parent organisation. Older papers often lack affiliations, so earlier years undercount.