Keeping track of new publications

Thomas David DuBois 杜博思's picture

Dear colleagues,

As a long time H-Asia subscriber, I am deeply grateful to the platform and those who make it work.
Lately I have been thinking about ways that H-Asia could do more to promote new work. Perhaps we are now a more modest group, but it seems that new publication announcements are becoming more rare, especially for journal articles. That’s a shame because these announcements really help us to keep current in new work, especially articles published places that we might not see (e.g., non-Asian studies journals).
I would love to see more people using this space to promote their work.
Beyond announcements, I wonder if H-Asia might consider some sort of user updatable database. It shouldn’t be terribly difficult to set up a wiki-style page where users could enter publication data with a few searchable keywords. Or possibly an archived monthly digest?
We really need a way to keep track of the vastly expanding body of new work. Who better than H-Asia?
Thomas David DuBois
Professor of Humanities, Beijing Normal University
Fresh from the oven!
Fieldwork in Modern Chinese History: A Research Guide, eds. Kiely and DuBois (Routledge 2019)

At H-Buddhism, we make a concerted effort to seek out and post the ToCs of new journal issues, as well as new book publications. We have been doing this for a long time, and so it has become a bit of a tradition, and subscribers and journal editors also regularly post their own ToCs.

As for saving publication information, we have the H-Buddhism Zotero Bibliography, where all publications posted on H-Buddhism are recorded. This has stimulated a broader range of collaboration on that project, such that we now have more than 10,000 bibliographical entries:



Dear Chuck,

My apologies for not having seen your reply much earlier.

I just clicked on the Zotero Bibliography, and it's phenomenal. I strongly urge any H-Asia members who (like me) did not know about this to go and have a look. This is most certainly a model that other fields can learn from and emulate.

Best wishes,